Agentic AI Security: What It Is and How to Do It - Palo Alto Networks

Agentic AI systems introduce new architectural risks due to their autonomous planning, decision-making, and tool-use capabilities, moving the attack surface from static models to dynamic workflows. Key threats include memory poisoning, tool misuse, and potential remote code execution (RCE) stemming from manipulated agent reasoning paths, external interactions, and inter-agent communications.