I've been asked to put together a plan for managing AI agents, but so far I’ve found mostly ordinary chatbot use and a few engineering integrations. What should an IAM plan cover, and how do I keep it useful without buying into vague vendor claims?
What does it actually mean to prepare IAM for AI agents?
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P7!Binnacle
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Start with the identities and controls you already manage. An agent that calls an API or connects to a business system needs an identity, an owner, defined permissions, and a way to revoke access. Treat it like a service account, but make sure it can be traced back to the person or team responsible for it.
For the plan, inventory existing integrations, document who approved them and what they can access, separate agent activity from human activity in logs, and set a review and offboarding process. That is a useful first phase even if there are only a few agents today.
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I’d avoid beginning with a platform purchase. First ask the CISO what outcome they expect: an inventory, policy, a technical control layer, or a presentation about future readiness. Those are different projects.
Then talk with engineering and the teams that own connected systems. Find out which agents or integrations exist, what credentials they use, whether permissions follow the individual user or a shared account, and what actions they can take. If adoption is still limited, make the first deliverable a staged policy and a small pilot, not a claim that every department needs an agent-management product now.
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The key risk is that an agent may act through a tool with more access than the person asking it to do something. Where possible, authorization should be checked at the connected system using the requesting user's permissions, not just the agent's broad credentials.
For higher-impact actions, consider read-only access by default, narrowly scoped credentials, short-lived access where the systems support it, and human approval before destructive or sensitive operations. Log the user, agent, tool, and action together. A connector or gateway can help enforce policy, but it is not a substitute for understanding the permissions the destination system actually applies.
_wobble+5:
Would you put those checks in the identity layer or expect each connected application to enforce them?
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Don’t assume that ordinary chatbot use means there are no agent-like integrations. People may be using API keys, command-line tools, or workflow connections without calling them agents. Check the actual paths to data and systems, not just the terminology in a survey.
At the same time, keep the evidence honest. If you find only a small number of integrations, say so. Present the current state, the gaps, and the triggers for a next phase, such as a new system with write access or a shared credential that cannot be tied to an owner.
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P7!Binnacle:
That gives me a concrete starting point. I’ll include current API and connector use in the inventory rather than relying only on whether teams say they use agents.