The Agentic IAM Checklist for Secure Autonomous Systems
AI agents don’t just assist. They execute, connect, trigger, and move fast across your systems. Yet somehow, they’re often running without guardrails, visibility, or proper lifecycle control.This checklist helps you stop treating agents like scripts with API keys and start managing them like real identities, with every action scoped, authorized, observable, and easy to shut down when needed.
What's Inside
- A breakdown of the core pillars of Agentic IAM and how they enable governed autonomy.
- A checklist to assess agent identity, access, and enforcement boundaries.
- Practical guidance for managing agent lifecycles from creation to revocation.
- Controls for delegation and human-in-the-loop approvals for high-risk actions.
- Best practices for tamper-evident logs and full agent observability.
Key Findings
The reality is that AI agents behave like identities but are rarely managed like them. When agents share credentials, operate with excessive privileges, or persist without lifecycle controls, they introduce invisible attack surfaces across your systems.
This checklist highlights the critical gaps across agent identity, authorization, lifecycle, delegation, and observability, and exposes where your current IAM model falls short for non-human actors.
Without clear ownership, scoped permissions, and traceable actions, AI systems become unaccountable by design. When something goes wrong, “the AI decided” is not an acceptable answer.
