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
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.
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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.
