{"id":6349,"date":"2016-05-23T07:00:07","date_gmt":"2016-05-23T15:00:07","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=6349"},"modified":"2016-04-27T07:05:52","modified_gmt":"2016-04-27T15:05:52","slug":"security-security-experts-paired-with-self-learning-ai-algorithms-battle-cyber-crimes","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/security-security-experts-paired-with-self-learning-ai-algorithms-battle-cyber-crimes\/","title":{"rendered":"Security: Security Experts Paired with Self-Learning AI Algorithms Battle Cyber Crimes"},"content":{"rendered":"

MIT AI Laboratory<\/a>\u00a0(CSAIL) scientists are using machine learning to help stop cybercrimes. \u00a0The MIT algorithm called AI2 (AI squared)<\/a> reportedly is three times more effective in spotting cyber activities than other methods. \u00a0The algorithm boasts of being able to detect 85 percent of cyber crimes.<\/p>\n

Kalyan Veeramachaneni<\/a>, a research scientist at MIT’s CSAIL, said that <\/a>“You can think about the system as a virtual analyst. \u00a0It continuously generates new models that it can refine in as little as a few hours, meaning it can improve its detection rates significantly and rapidly.\u00a0The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions. \u00a0That human-machine interaction creates a beautiful, cascading effect.”<\/p>\n

The algorithm works in tandem with a security expert. \u00a0The algorithm identifies possible abnormal events that have been logged in the system and passes them to the expert who in turn scores and identifies those that are actual attacks versus the false positives. \u00a0Over time, the algorithm learns and becomes increasingly more accurate in its ability to spot and alert for potential problems.<\/p>\n

Ignacio Arnaldo<\/a>, former CSAIL postdoc , said that<\/a> “unless you have that access,\u00a0you can’t truly develop these methods. Startups like PatternEx are the perfect environment to develop this kind of technology.”<\/p>\n

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MIT AI Laboratory\u00a0(CSAIL) scientists are using machine learning to help stop cybercrimes. \u00a0The MIT algorithm called AI2 (AI squared) reportedly is three times more effective in spotting cyber activities than other methods. \u00a0The algorithm boasts of being able to detect…<\/span><\/p>\n

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