What Is AI Agent Security? A Practical Guide
Learn the controls AI agents need beyond prompt filtering: identity, least privilege, credential isolation, budgets, revocation, audit trails and human approval.
Read the guidePassControl learning center
Plain-language, technically precise guides to identity, credentials, authorization, budgets, revocation and proof. Every guide names the controls PassControl covers—and the ones it does not.
Learn the controls AI agents need beyond prompt filtering: identity, least privilege, credential isolation, budgets, revocation, audit trails and human approval.
Read the guideLearn how to give every AI agent a distinct identity, bind it to an owner, separate authentication from authority, and manage its full security lifecycle.
Read the guideSee how an AI agent credential gateway keeps provider keys outside agent runtimes while enforcing identity, scope, budget, revocation and audit controls.
Read the guideLearn how minimal audit events, hash chaining and digital signatures create AI agent call receipts that can be verified without trusting a dashboard export.
Read the guideHow to secure Model Context Protocol servers: treat tool metadata as untrusted input, authenticate the agent, scope each tool, and keep upstream keys out.
Read the guideDenial of wallet is a security failure, not a billing surprise. How to reserve spend before a call, settle it after, and pick the right scope for every limit.
Read the guideRevocation is the control you test, not the one you assume. Layered kill switches, why rotation is not revocation, and how to make a shutdown checkable afterwards.
Read the guideLet an AI agent read GitHub without holding your token: a fine-grained token as the ceiling, per-agent rules as the floor, and a gateway that injects the key.
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