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identity access
IAM for AI agents: A Practical Enterprise Framework
The article outlines identity and access management (IAM) concepts specific to artificial intelligence (AI) agents that operate within enterprise environments with delegated permissions. It addresses gaps in traditional provisioning methods, identifies key architectural components, and establishes criteria for assessing and validating agent behavior at runtime.
Why it matters: Enterprise security teams deploying AI agents need practical IAM frameworks to control what those agents can authenticate, invoke, and execute across systems, and to detect when they exceed intended scope.
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