Self-modifying AI agents expose a blind spot in enterprise security

New research highlights that self-modifying AI agents in local, self-hosted environments can alter their underlying AI models, causing persistent and unexpected security risks like prompt injection persisting beyond single sessions. This risk is heightened in on-premises deployments where agents have access to model weights, raising concerns about enterprise security controls and architecture assumptions.

This Wire brief sits within Fusion42's coverage of AI Agents and Cybersecurity.