Anti-Cast: Agent UEBA: Applying Data Science to AI Security with Tom Prigg
July 29 @ 12:00 pm – 1:00 pm EDT
How do you detect an AI agent that’s been compromised before it completes its objective?
Thomas Prigg, AI Incident Response Team lead, explores a new approach to AI threat detection using behavioral drift analysis. By applying data science techniques to AI agent activity, defenders can identify prompt injection, poisoning, malicious adaptation, and other threats earlier than traditional security methods.
Topics include:
- Five behavioral drift detection techniques for AI agents
- Twenty categories of behavioral drift signals
- Early detection of prompt injection and data poisoning
- Identifying agent compromise and malicious adaptation
- Turning behavioral drift into actionable security telemetry before traditional alerts fire
You’ll learn how to turn behavioral drift into actionable security telemetry before the damage is done.
Join us for PreShow Banter™ at 11:30 AM ET
Chat with your fellow attendees in the BHIS Discord server:
https://discord.gg/bhis
in the #🔴live-chat channel
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