https://plamosoku.com/enjyo/index.php?action=history&feed=atom&title=Stopping_Cyberattacks._No_Human_Necessary 2026-04-17T12:06:46Z このウィキのこのページに関する変更履歴 MediaWiki 1.36.1 https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=906125&oldid=prev 2024-03-15T03:30:00Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ja"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← 古い版</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月15日 (金) 03:30時点における版</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">1行目:</td> <td colspan="2" class="diff-lineno">1行目:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web market] </del>her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, <del style="font-weight: bold; text-decoration: none;">Darktrace found malware on </del>Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet site] </del>empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darkmarket list] </del>no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet <del style="font-weight: bold; text-decoration: none;">market</del>] markets to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] links </del>the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] markets url </ins>Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark market list] websites Darktrace found malware on </ins>Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet markets url] </ins>doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet <ins style="font-weight: bold; text-decoration: none;">markets onion</ins>] markets to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td></tr> </table>

DorineElia9 https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=905485&oldid=prev 2024-03-15T02:39:03Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ja"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← 古い版</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月15日 (金) 02:39時点における版</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">1行目:</td> <td colspan="2" class="diff-lineno">1行目:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark markets 2024] </del>in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and <del style="font-weight: bold; text-decoration: none;">empty lots, this </del>corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web sites] </del>controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] websites </del>behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet markets<del style="font-weight: bold; text-decoration: none;">] </del>to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, <del style="font-weight: bold; text-decoration: none;"> tor drug [https://mydarkmarket.com darknet market] </del>but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web market] </ins>her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet site] empty lots, this </ins>corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darkmarket list] </ins>no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet <ins style="font-weight: bold; text-decoration: none;">market] </ins>markets to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] links </ins>the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td></tr> </table>

DorineElia9 https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=902875&oldid=prev 2024-03-14T07:03:28Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ja"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← 古い版</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月14日 (木) 07:03時点における版</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">1行目:</td> <td colspan="2" class="diff-lineno">1行目:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, <del style="font-weight: bold; text-decoration: none;"> dark web link </del>colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket</del>.<del style="font-weight: bold; text-decoration: none;">com darknet market] [https://mydarkmarket.com darknet markets 2024] [https://mydarkmarket.com onion dark website] offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br</del>&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;<del style="font-weight: bold; text-decoration: none;">&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its </del>most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web markets] </del>Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor <del style="font-weight: bold; text-decoration: none;">in , </del> [https://mydarkmarket.com <del style="font-weight: bold; text-decoration: none;">darknet websites</del>] a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet markets] to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, <ins style="font-weight: bold; text-decoration: none;">offers a glimpse into a future when more of us will turn to our AI overlords for protection</ins>. <ins style="font-weight: bold; text-decoration: none;">&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br</ins>&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;<ins style="font-weight: bold; text-decoration: none;">Man and machine</ins>&lt;br&gt;<ins style="font-weight: bold; text-decoration: none;">At its </ins>most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor  [https://mydarkmarket.com <ins style="font-weight: bold; text-decoration: none;">dark markets 2024</ins>] <ins style="font-weight: bold; text-decoration: none;">in , </ins>a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web sites] </ins>controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] websites </ins>behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet markets] to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, <ins style="font-weight: bold; text-decoration: none;"> tor drug [https://mydarkmarket.com darknet market] </ins>but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td></tr> </table>

DorineElia9 https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=901840&oldid=prev 2024-03-14T05:04:56Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ja"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← 古い版</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月14日 (木) 05:04時点における版</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">1行目:</td> <td colspan="2" class="diff-lineno">1行目:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web market links] </del>Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in ,  [https://mydarkmarket.com darknet <del style="font-weight: bold; text-decoration: none;">market</del>] <del style="font-weight: bold; text-decoration: none;">markets onion address </del>a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] </del>and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com Dark Websites] </del>that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and <del style="font-weight: bold; text-decoration: none;"> darkmarket list </del>their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet <del style="font-weight: bold; text-decoration: none;">market] [https://mydarkmarket.com dark </del>markets <del style="font-weight: bold; text-decoration: none;">2024</del>] to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, <ins style="font-weight: bold; text-decoration: none;"> dark web link </ins>colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] [https://mydarkmarket.com darknet markets 2024] [https://mydarkmarket.com onion dark website] </ins>offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web markets] </ins>Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in ,  [https://mydarkmarket.com darknet <ins style="font-weight: bold; text-decoration: none;">websites</ins>] a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet markets] to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td></tr> </table>

HalinaBrett0 https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=901467&oldid=prev 2024-03-14T04:29:43Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ja"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← 古い版</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月14日 (木) 04:29時点における版</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">1行目:</td> <td colspan="2" class="diff-lineno">1行目:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet marketplace] </del>colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] markets city technology in Irvine, </del>California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, <del style="font-weight: bold; text-decoration: none;">and providing Wi-</del>Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, <del style="font-weight: bold; text-decoration: none;"> dark web [https://mydarkmarket.com darknet market] urls </del>I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet market] markets to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web market links] </ins>Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and <ins style="font-weight: bold; text-decoration: none;">city technology in Irvine, </ins>California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] markets onion address </ins>a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] and providing Wi-</ins>Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com Dark Websites] </ins>that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and <ins style="font-weight: bold; text-decoration: none;"> darkmarket list </ins>their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet market] <ins style="font-weight: bold; text-decoration: none;">[https://mydarkmarket.com dark </ins>markets <ins style="font-weight: bold; text-decoration: none;">2024] </ins>to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td></tr> </table>

LindaKeefer https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=899406&oldid=prev 2024-03-13T02:58:18Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ja"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← 古い版</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月13日 (水) 02:58時点における版</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">1行目:</td> <td colspan="2" class="diff-lineno">1行目:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and <del style="font-weight: bold; text-decoration: none;"> dark [https://mydarkmarket.com darknet market] url </del>innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and <del style="font-weight: bold; text-decoration: none;">city technology in Irvine</del>, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] </del>this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, <del style="font-weight: bold; text-decoration: none;">I'm at </del>Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darkmarket link] </del>tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet market] <del style="font-weight: bold; text-decoration: none;">[https://mydarkmarket.com darknet </del>markets<del style="font-weight: bold; text-decoration: none;">] </del>to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darkmarket link] </del>to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet marketplace] </ins>colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] markets city technology in Irvine</ins>, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, <ins style="font-weight: bold; text-decoration: none;"> dark web [https://mydarkmarket.com darknet market] urls I'm at </ins>Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet market] markets to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td></tr> </table>

31.6.55.28 https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=433870&oldid=prev 2023-07-03T22:10:17Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ja"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← 古い版</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2023年7月3日 (月) 22:10時点における版</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">1行目:</td> <td colspan="2" class="diff-lineno">1行目:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darkmarket] url doesn't look </del>at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com dark web link] </del>like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, <del style="font-weight: bold; text-decoration: none;">tells me. &quot;</del>This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com best darknet markets] </del>according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet markets] to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: <del style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] list </del>Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and <ins style="font-weight: bold; text-decoration: none;"> dark [https://mydarkmarket.com darknet market] url </ins>innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so,  that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the  in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darknet market] </ins>this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, <ins style="font-weight: bold; text-decoration: none;">doesn't look </ins>at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the  which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darkmarket link] tells me. &quot;</ins>This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who  and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on <ins style="font-weight: bold; text-decoration: none;">[https://mydarkmarket.com darknet market] </ins>[https://mydarkmarket.com darknet markets] to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: <ins style="font-weight: bold; text-decoration: none;"> [https://mydarkmarket.com darkmarket link] </ins>to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div></td></tr> </table>

IrvingLillico53 https://plamosoku.com/enjyo/index.php?title=Stopping_Cyberattacks._No_Human_Necessary&diff=433823&oldid=prev 2023-07-03T22:07:22Z

<p>ページの作成:「id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is par…」</p> <p><b>新規ページ</b></p><div>id=&quot;article-body&quot; class=&quot;row&quot; section=&quot;article-body&quot; data-component=&quot;trackCWV&quot;&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;This is part of our  about how innovators are thinking up new ways to make you — and the world around you — smarter. &lt;br&gt;&quot;Are you a hacker?&quot;&lt;br&gt;&lt;br&gt;A Las Vegas driver asks me this after I tell him I'm headed to Defcon at Caesars Palace. I wonder if his sweat isn't just from the 110℉ heat blasting the city. &lt;br&gt;&lt;br&gt;All week, a cloud of paranoia looms over Las Vegas, as hackers from around the world swarm Sin City for Black Hat and Defcon, two back-to-back cybersecurity conferences taking place in the last week of July. At Caesars Palace, where Defcon is celebrating its 25th anniversary, the UPS store posts a sign telling guests it won't accept printing requests from USB thumb drives. You can't be too careful with all those hackers in town. &lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Everywhere I walk I see hackers — in tin-foiled fedoras, wearing . Mike Spicer, a security researcher, carries a 4-foot-high backpack holding a &quot;Wi-Fi cactus.&quot; Think wires, antennas, colored lights and 25 Wi-Fi scanners that, in seven hours, captured 75 gigabytes of data from anyone foolish enough to use public Wi-Fi. I see a woman thank him for holding the door open for her, all while his backpack sniffs for unencrypted passwords and personal information it can grab literally out of thin air.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;You'd think that, with all the potential threats literally walking about town, Vegas' director of technology and innovation, Mike Sherwood, would be stressed out. It's his job to protect thousands of smart sensors around the city that could jam traffic, blast water through pipes or cause a blackout if anything goes haywire. &lt;br&gt;&lt;br&gt;And yet he's sitting right in front of me at Black Hat, smiling. &lt;br&gt;&lt;br&gt;His entire three-person team, in fact, is at Black Hat so they can learn how to stave off future attacks. Machine learning is guarding Las Vegas' network for them. &lt;br&gt;&lt;br&gt;Broadly speaking, artificial intelligence refers to machines carrying out jobs that we would consider smart. Machine learning is a subset of AI in which computers learn and adapt for themselves. &lt;br&gt;&lt;br&gt;Now a number of cybersecurity companies are turning to machine learning in an attempt to stay one step ahead of professionals working to steal industrial secrets, disrupt national infrastructures, hold computer networks for ransom and even influence elections. Las Vegas, which relies on machine learning to keep the bad guys out, offers a glimpse into a future when more of us will turn to our AI overlords for protection. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Man and machine&lt;br&gt;At its most basic, machine learning for security involves feeding massive amounts of data to the AI program, which the software then analyzes to spot patterns and recognize what is, and isn't, a threat. If you do this millions of times, the machine becomes smart enough to prevent intrusions and malware on its own. &lt;br&gt;&lt;br&gt;Theoretically. &lt;br&gt;&lt;br&gt;Machine learning naysayers argue that hackers can write malware to trick AI. Sure the software can learn really fast, but it stumbles when it encounters data its creators didn't anticipate. Remember how trolls turned ? It makes a good case against relying on AI for cybersecurity, where the stakes are so high. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Even so, that has protected Las Vegas' network and thousands of sensors for the last 18 months. &lt;br&gt;&lt;br&gt;Since last February, Darktrace has defended the city from cyberattacks, around the clock. That comes in handy when you have only three staffers handling cybersecurity for people, 3,000 employees and thousands of online devices. It was worse when Sherwood joined two years ago. &lt;br&gt;&lt;br&gt;&quot;That was the time where we only had one security person on the team,&quot; Sherwood tells me. &quot;That was when I thought, 'I need help and I can't afford to hire more people.'&quot;&lt;br&gt;&lt;br&gt;It's really easy for AI to miss things.&lt;br&gt;David Brumley, Carnegie Mellon University&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;He'd already used Darktrace in his previous job as deputy director of public safety and city technology in Irvine, California, and he thought the software could help in Las Vegas. Within two weeks, Darktrace found malware on Las Vegas' network that was sending out data.&lt;br&gt;&lt;br&gt;&quot;We didn't even know,&quot; Sherwood says. &quot;Traditional scanners weren't picking it up.&quot;  &lt;br&gt;Pattern recognition&lt;br&gt;I'm standing in front of a tattoo parlor in , a little more than 4 miles from Caesars Palace. Across the street, I see three shuttered stores next to two bail bonds shops. &lt;br&gt;&lt;br&gt;I'm convinced the taxi driver dropped me off at the wrong location. &lt;br&gt;&lt;br&gt;This is supposed to be Vegas' $1 million Innovation District project? Where are the in the area? Or the ?&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;I look again at the Innovation District map on my phone. I'm in the right place. Despite the rundown stores, trailer homes and empty lots, this corner of downtown Vegas is much smarter than it looks.&lt;br&gt;&lt;br&gt;That's because hidden on the roads and inside all the streetlights, traffic signals and pipes are thousands of sensors. They're tracking the air quality, controlling the lights and water, counting the cars traveling along the roads, and providing Wi-Fi.&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Officials chose the city's rundown area to serve as its Innovation District because they wanted to redevelop it, with help from technology, Sherwood says. There's just one problem: All those connected devices are potential targets for a cyberattack. That's where Darktrace comes in. &lt;br&gt;&lt;br&gt;Sherwood willingly banks on Darktrace to protect the city's entire network because the software comes at machine learning from a different angle. Most machine learning tools rely on brute force: cramming themselves with thousands of terabytes of data so they can learn through plenty of trial and error. That's how IBM's Deep Blue computer learned to defeat Garry Kasparov, the world chess champion, in a best-of-seven match in 1997. In the security world, that data describes malware signatures — essentially algorithms that identify specific viruses or worms, for instance.&lt;br&gt;&lt;br&gt;Darktrace, in contrast, [https://mydarkmarket.com darkmarket] url doesn't look at a massive database of malware that's come before. Instead, it looks for patterns of human behavior. It learns within a week what's considered normal behavior for users and sets off alarms when things fall out of pattern, [https://mydarkmarket.com dark web link] like when someone's computer suddenly starts encrypting loads of files.&lt;br&gt;Rise of the machines?&lt;br&gt;Still, it's probably too soon to hand over all security responsibilities to artificial intelligence, says  , a security professor and director of Carnegie Mellon University's CyLab Security and Privacy Institute. He predicts it'll take at least 10 years before we can safely use AI to keep bad things out. &lt;br&gt;&lt;br&gt;&quot;It's really easy for AI to miss things,&quot; Brumley tells me over the phone. &quot;It's not a perfect solution, and you still need people to make important choices.&quot;&lt;br&gt;&lt;br&gt;Aaron Robinson/CNET&lt;br&gt;&lt;br&gt;Brumley's team last year built an AI machine that won beating out other AI entries. A few days later, their contender took on some of the world's best hackers at Defcon. They came in last. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;Sure, machines can help humans fight the scale and speed of attacks, but it'll take years before they can actually call the shots, says Brumley. &lt;br&gt;&lt;br&gt;That's because the model for AI right now is still data cramming, which — by today's standards — is actually kind of dumb. &lt;br&gt;&lt;br&gt;But it was still good enough to , making him the de facto poster child for man outsmarted by machine. &lt;br&gt;&lt;br&gt;&quot;I always remind people it was a rematch, because I won the first one,&quot; he tells me, chuckling, while sitting in a room at Caesars Palace during Defcon. Today Kasparov, 54, is the which is why he's been giving talks around the country on why humans need to work with AI in cybersecurity.  &lt;br&gt;&lt;br&gt;He tells me machines can now learn too fast for humans to keep up, no matter if it's chess or cybersecurity. &quot;The vigilance and the precision required to beat the machine -- it's virtually impossible to reach in human competition,&quot; Kasparov says. &lt;br&gt;Nobody's perfect&lt;br&gt;About two months before Defcon, I'm at Darktrace's headquarters in New York, where company executives show me how the system works. &lt;br&gt;&lt;br&gt;On a screen, I see connected computers and printers sending data to Darktrace's network as it monitors for behavior that's out of the ordinary.  &lt;br&gt;&lt;br&gt;Garry Kasparov addresses the Defcon crowd at this year's conference. &lt;br&gt;&lt;br&gt;Avast&lt;br&gt;&lt;br&gt;&quot;For example, Sue doesn't usually access this much internal data,&quot; Nancy Karches, Darktrace's sales manager, tells me. &quot;This is straying from Sue's normal pattern.&quot; So Darktrace shuts down an attack most likely waged by another machine. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&quot;When you have machine-based attacks, the attacks are moving at a machine speed from one to the other,&quot; says Darktrace CEO Nicole Eagan. &quot;It's hard for humans to keep up with that.&quot;&lt;br&gt;&lt;br&gt;But what happens when AI becomes the norm? When everyone's using AI, says Brumley, hackers will turn all their attention on finding the machines' flaws — something they're not doing yet. &lt;br&gt;&lt;br&gt;Darktrace&lt;br&gt;&lt;br&gt;&quot;We've seen again and again, the reason new solutions work better is because attackers aren't targeting its weaknesses,&quot; he says. &quot;As soon as it became popular, it started working worse and worse.&quot;&lt;br&gt;&lt;br&gt;About 60 percent of cybersecurity experts at Black Hat believe hackers will use AI for attacks by 2018, [https://mydarkmarket.com best darknet markets] according to a survey from the security company Cylance.&lt;br&gt;&lt;br&gt;&quot;Machine learning security is not foolproof,&quot; says Hyrum Anderson, principal data scientist at cybersecurity company Endgame, who and their tools. Anderson expects AI-based malware will rapidly make thousands of attempts to find code that the AI-based security misses. &lt;br&gt;&lt;br&gt; to see more Road Trip adventures.&lt;br&gt;&lt;br&gt;Bettmann/Contributor&lt;br&gt;&lt;br&gt;&quot;The bad guy can do this with trial and error, and it will cost him months,&quot; Anderson says. &quot;The bot can learn to do this, and it will take hours.&quot; &lt;br&gt;&lt;br&gt;Anderson says he expects cybercriminals will eventually sell AI malware on [https://mydarkmarket.com darknet markets] to wannabe hackers. &lt;br&gt;&lt;br&gt;For now, Sherwood feels safe having the city protected by an AI machine, which has shielded Las Vegas' network for the past year. But he also realizes a day will come when hackers could outsmart the AI. That's why Sherwood and his Las Vegas security team are at Black Hat: to learn how to use human judgment and creativity while the machine parries attacks as rapidly as they come in. &lt;br&gt;&lt;br&gt;Kasparov has been trying to make that point for the last 20 years. He sees machines doing about 80 percent to 90 percent of the work, but he believes they'll never get to what he calls &quot;that last decimal place.&quot; &lt;br&gt;&lt;br&gt;&quot;You will see more and more advanced destruction on one side, and that will force you to become more creative on the positive side,&quot; he tells me. &lt;br&gt;&lt;br&gt;&quot;Human creativity is how we make the difference.&quot; &lt;br&gt;&lt;br&gt;: [https://mydarkmarket.com darknet market] list Reporters' dispatches from the field on tech's role in the global refugee crisis. &lt;br&gt;&lt;br&gt;: CNET hunts for innovation outside the Silicon Valley bubble. &lt;br&gt;</div>

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