As AI agents move from pilots to production, granting them the power to act autonomously across systems, security has become a top boardroom priority. This guide on
secure enterprise AI agents examines why agent-based software demands a different security approach than traditional applications, covering identity management, guardrails, and human oversight. It explores real risks like goal hijacking, tool misuse, and privilege abuse, backed by current industry data on breach costs and adoption trends, plus a practical checklist of architecture pillars and best practices for deploying agents that scale safely.
