An agent inventory doesn’t tell you what those agents are allowed to do

Reddit r/AI_Agents News
agent-inventory agent-authorization access-control production-agents iam governance

Summary

A reflection on the challenge of managing permissions for AI agents in production, arguing that inventory alone is insufficient and that teams need unified control over agent actions, with ongoing interviews planned.

Imagine two production agents: A support agent can access customer records, issue refunds, and send emails. A coding agent can access GitHub, AWS, and production deployments. Knowing they exist is easy. The harder questions are: Which customers can the support agent refund? What requires human approval? Can the coding agent deploy directly? Can security revoke one tool across every agent? Can the company prove why an action was allowed? My hypothesis is that teams will eventually need one place to inventory agents, map their authority, and control consequential actions. But I’m not convinced this is a standalone company. It might already be handled by IAM, gateways, application code, or internal tooling. If you run agents in production, where do these controls actually live today? I’m interviewing 25 teams and will share the anonymized patterns afterward.
Original Article

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