Artificial Intelligence & Machine Learning , Fraud Management & Cybercrime , Governance & Risk Management

How to Predict Insider Fraud

CMU CERT Researcher Randy Trzeciak on the Power and Promise of Emerging Technology
Randy Trzeciak, director, CERT Insider Threat Center, CMU

When insider threat researcher Randy Trzeciak looks at artificial intelligence and machine learning, he sees the potential for technology to help organizations predict potentially dangerous insider behavior - not just respond to it.

See Also: The State of Organizations' Security Posture as of Q1 2018

In a video interview at Information Security Media Group's recent New York City Fraud Summit, Trzeciak, director of the CERT Insider Threat Center at Carnegie Mellon University, talks about:

  • The center's latest research on the insider threat;
  • The promise of artificial intelligence and machine learning;
  • How transaction analysis can help tell the story about insider fraud.

Trzeciak heads a team focusing on insider threat research, threat analysis and modeling, assessments and training. He has more than 20 years of experience in software engineering, focusing on database design, development and maintenance. In addition to his role with CERT, he is an adjunct professor at Carnegie Mellon's Heinz College, Graduate School of Information Systems and Management.

About the Author

Tom Field

Tom Field

Senior Vice President, Editorial, ISMG

Field is responsible for all of ISMG's 28 global media properties and its team of journalists. He also helped to develop and lead ISMG's award-winning summit series that has brought together security practitioners and industry influencers from around the world, as well as ISMG's series of exclusive executive roundtables.

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