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Cyber Risks · The Hacker News

IAM for AI agents: A Practical Enterprise Framework

Summary: IAM for AI agents treats each agent as a non-human identity with a human owner, a defined purpose, scoped authorization, an expiration, and continuous monitoring, but IAM platforms describe access as configured while applications and infrastructure reveal what the agent actually executed. The guide names OWASP's excessive agency (LLM06) as the failure mode, cites NIST SP 800-53 AC-6 and AU controls and MITRE ATT&CK T1078, and notes agent identities are commonly created by infrastructure automation and deployment pipelines rather than HR-driven lifecycle events, so they bypass governance workflows and accumulate outside compliance inventory.

What you should know: A procurement agent approved only to retrieve supplier pricing, but granted the full procurement API surface, can initiate purchase orders because the task chain reasoned its way there - intent, entitlement, and execution are three separate artifacts, and only the third describes what happened. Revocation speed and evidence quality are the two capabilities framework evaluations most often skip, because provisioning features are easier to demonstrate.

Read the original at The Hacker News ↗

Topics
Identity & Access Management
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