Startup mimics security analyst’s decision making, learns from humans

Startup PatternEx with roots in MIT’s artificial intelligence lab is launching a security platform it says employs artificial intelligence by learning from input it gets from human security analysts about data exfiltration and bank fraud incidents that it flags.

It monitors firewall logs and traffic in and out of the network and alerts customer analysts of suspicious traffic that might represent malware connecting to command and control servers or transferring data out of the network, says PatternEx CEO Uday Veeramachaneni, a co-founder of the company.

The AI engine is fed information about how the analyst responds to each notification and the algorithm running it incorporates that input into refining its predictive model of how the analyst will react. That way, over time, it sends fewer false positives, Veeramachaneni says.

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