Smit leads Seceon’s data science and machine learning team, focused on developing a state of the art behavior anomaly detection solution. Smit holds a B.S from VJTI, Mumbai; an MS in Computer Science from Indian Statistical Institute, Kolkata; and an MBA from Southern New Hampshire University, Manchester. Smit and the team at Seceon have built the industry’s first and only fully-automated threat detection and remediation system using a combination of machine learning and artificial intelligence techniques. Seceon’s approach includes analysis of all traffic, flows and processes in and out of the network and correlates them near-simultaneously with behavioral analytics, recognized and zero-day exploits and policies to surface threats and proposed responses in near-record real-time.
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- Website: http://www.seceon.com