Identity and Access Management for AI Agents
Definition
Extending traditional IAM (Identity and Access Management) principles to non-human AI agents. AI IAM includes: unique agent identity, per-agent access policies, least-privilege enforcement, action-level audit trails, and credential management for autonomous entities. AI agents are the first non-human entities with production write access — they need IAM just like human users.
Why It Matters
Traditional IAM assumes human actors: slow decision-making, consequence awareness, and manual oversight. AI agents are fast, probabilistic, and consequence-unaware. They need tighter controls: per-action validation (not per-session), deterministic enforcement (not behavioral trust), and real-time audit (not periodic review).
How Exogram Addresses This
Exogram provides IAM for non-human entities. Every agent has a unique ID. Every action is independently evaluated. Least-privilege enforcement via deterministic policy rules. Full audit trail per agent per action.
Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees