[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-ai-model-spots-factory-hackers-inside-encrypted-traffic":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},5061,"new-ai-model-spots-factory-hackers-inside-encrypted-traffic","New AI Model Spots Factory Hackers Inside Encrypted Traffic","A neural network designed to filter encryption noise now catches rare industrial-sabotage commands hidden in encrypted traffic, researchers say.","Researchers say they've built an AI system that can catch hackers tampering with factory equipment even when the network traffic is fully encrypted.\n\nThe system, called BGA, targets TLS 1.3 encrypted traffic, the same protocol that secures most modern web and industrial connections, where security tools normally lose visibility once data is scrambled. It uses a statistical method called ANOVA to separate meaningful signals, like industrial equipment settings, from random cryptographic noise, then trains on a dataset of 86,878 network flow records. Because attacks are rare compared to normal traffic, the team used a generative AI technique, a Wasserstein GAN, to manufacture realistic examples of attacks, which the researchers say lifted detection of a category called Malicious State Command Injection by 43.2%. The core model, a mix of memory-based neural network layers and an attention mechanism that filters out encryption artifacts, hit over 95.2% accuracy on two public benchmarks and ran inference in as little as 0.282 milliseconds.\n\nIndustrial control systems such as power grids, water treatment plants, and factory floors increasingly route traffic over encrypted channels, which blinds conventional intrusion detection tools that rely on inspecting packet contents. A detector that reads patterns in encrypted flows without decrypting them addresses a real blind spot in critical infrastructure security, one that's only grown as TLS 1.3 adoption spreads to industrial gateways.\n\nStill, this is a benchmark result on public datasets, not a system defending a live power plant, and those numbers tend to shrink once real attackers start adapting around them.","[\"ai\",\"security\",\"industrial-control-systems\",\"encryption\"]","2026-08-17T04:00:00.000Z","2026-08-17T08:14:43.596Z","2026-08-17T08:14:55.393Z","published",null,[],"security",[26,24,27,28],"ai","industrial-control-systems","encryption",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.14126",0,{"sections":35},[36,40,43,48,53,58,63,68,73,78,83,88,93,98],{"name":37,"slug":26,"count":38,"latest_published_at":39},"AI",3293,"2026-08-20T04:00:00.000Z",{"name":41,"slug":24,"count":42,"latest_published_at":39},"Security",435,{"name":44,"slug":45,"count":46,"latest_published_at":47},"Policy","policy",210,"2026-08-19T09:32:27.000Z",{"name":49,"slug":50,"count":51,"latest_published_at":52},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":54,"slug":55,"count":56,"latest_published_at":57},"Hardware","hardware",140,"2026-08-19T18:25:42.000Z",{"name":59,"slug":60,"count":61,"latest_published_at":62},"Consumer Tech","consumer-tech",95,"2026-08-18T16:05:00.000Z",{"name":64,"slug":65,"count":66,"latest_published_at":67},"Science","science",90,"2026-08-19T18:41:02.000Z",{"name":69,"slug":70,"count":71,"latest_published_at":72},"Software","software",73,"2026-08-18T07:51:50.000Z",{"name":74,"slug":75,"count":76,"latest_published_at":77},"Dev Tools","dev-tools",69,"2026-08-18T04:00:00.000Z",{"name":79,"slug":80,"count":81,"latest_published_at":82},"Startups","startups",47,"2026-08-19T19:13:46.000Z",{"name":84,"slug":85,"count":86,"latest_published_at":87},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",33,"2026-08-18T22:18:13.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]