Seeing AI Agents Is Not Enough. Security Teams Must Enforce What They Can Do

Summary: AI agent security is moving from adoption to visibility to control, but enforcing least privilege for agents is proving harder than expected, and discovery alone is not useful because agents reason, plan, call tools, invoke APIs, and take action without a human in the loop. The article argues that an agent inventory not connected to enforcement is a static asset list that cannot say whether an agent's access is appropriate, its behavior matches its purpose, its owner is accountable, or when permissions should be revoked, and it cites the OWASP Top 10 for Agentic Applications for risks including identity and privilege abuse, tool misuse, insecure inter-agent communication, cascading failures, and rogue agents.
What you should know: AI agents are created by people in every role, not just IT and DevSecOps, and platform-by-platform controls will not scale because no single platform sees the full enterprise picture of identity, access, ownership, and lifecycle. Visibility without enforcement creates what the article calls a dangerous kind of confidence, where it is easy to feel in control when the reality is far different.

Read the original at The Hacker News ↗