Fraud , Fraud Management & Cybercrime , Insider Fraud

Machine Learning, AI Mitigating Insider Threats

CMU's Randy Trzeciak Describes How Emerging Technology Can Find Anomalies
Randy Trzeciak, director, CERT Insider Threat Center, CMU

Insider threats aren't going away, but the introduction of machine learning and AI are proving to be powerful tools in the fight. Randy Trzeciak of the CERT Insider Threat Center at Carnegie Mellon University shares first-hand research insights.

See Also: Live Webinar | Cybercrime 2.0: A New Era for the Identity and Authentication Challenge

In a video interview at RSA Conference 2018, Trzeciak discusses:

  • Recent insider threat trends;
  • AI and machine learning in insider-threat detection;
  • The role of insider devices.

Trzeciak, director of the CERT Insider Threat Center at Carnegie Mellon University, works at the Software Engineering Institute, where his team researches threats trusted insiders pose to the U.S. government, industry and academia.


About the Author

Nick Holland

Nick Holland

Director, Banking and Payments

Holland, an experienced security analyst, has spent the last decade focusing on the intersection of digital banking, payments and security technologies. He has spoken at a variety of conferences and events, including Mobile World Congress, Money2020, Next Bank and SXSW, and has been quoted by The Wall Street Journal, CNN Money, MSNBC, NPR, Forbes, Fortune, BusinessWeek, Time Magazine, The Economist and the Financial Times. He holds an MSc degree in information systems management from the University of Stirling, Scotland.




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