About

AI Agent Security is an editorial resource for security, governance, and risk teams responsible for autonomous AI agents in production. It covers execution governance, agent-level policy enforcement, regulatory alignment, and the structural controls that make agent behavior auditable and containable.

The focus is on the layer between an agent's decision and its action — the execution boundary where policy meets capability. That layer is where traditional application security controls break down and where agent-specific governance begins.

Content is written for readers who need to make policy decisions about agent systems: what to allow, what to deny, how to audit, and how to respond when an agent does something unexpected.

References draw from regulatory frameworks (NIST AI RMF, EU AI Act), published security research, and established control patterns in adjacent fields.