Top 5 Agentic AI Attacks & Zero Trust AI-DR Prevention

Agentic AI systems are introducing new attack surfaces that traditional security models were not designed to handle. This webinar focuses on the most common attack patterns targeting AI agents and autonomous systems, explaining how adversaries exploit abnormal behavior, misuse runtime access, and escalate privileges in AI driven environments.

The session covers how Zero Trust AI Detection and Response can be applied to continuously monitor agent behavior, detect misuse in real time, and prevent data exposure. Attendees will gain practical insight into securing agentic AI workloads, understanding how these attacks differ from traditional threats, and building controls that reduce risk as AI systems become more autonomous.