Federal zero trust faces challenges with AI agents
Federal agencies are adopting agentic AI systems, but those systems present real difficulties for existing zero trust security frameworks designed around human users and static identities. The commentary argues that opting out of agentic AI is not a realistic option for government.
Why this matters: Zero trust security works by assuming no one inside a network is automatically safe. Every user, every device has to prove it belongs. AI agents break that model. They act autonomously, chain together tasks, and can hold access to sensitive systems without a human in the loop at each step. Federal agencies handle data that affects millions of people. If the security architecture does not catch up to how these agents actually behave, the risk does not disappear just because the tool is useful. Someone has to decide what an AI agent is allowed to touch, and who is accountable when it touches something it should not.
Who should care: General readers · AI governance · Policy
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