TL;DR: AI agents share core identity needs with people, but their ephemeral lifecycles, 80-to-1 scale, and multi-hop delegation chains break static IAM models, according to Strata Identity. Access review processes assume identities persist long enough to be reviewed; agents can appear and disappear within a task.
NHIMG editorial — based on content published by Strata Identity: AI agents are people too
By the numbers:
- AI agents will outnumber human identities 80 to 1 in some enterprise environments.
- Gartner predicts that by 2026, 30% of enterprises will deploy AI agents acting with minimal human intervention.
Questions worth separating out
Q: How should security teams govern AI agents that act on behalf of users?
A: Security teams should treat each agent as a distinct identity with explicit delegation metadata, scoped authority, and an auditable chain back to the originating user or system.
Q: Why do AI agents complicate zero trust and least privilege programmes?
A: AI agents complicate those programmes because their permissions are often task-specific, short-lived, and context-dependent, while traditional controls assume stable identities and predictable access patterns.
Q: What breaks when AI agents are managed like service accounts?
A: What breaks is the assumption that a durable account model can represent a transient actor.
Practitioner guidance
- Assign each agent a first-class identity Create a named identity for every agent and attach delegation metadata that records who or what it acts on behalf of, what task it may perform, and when authority expires.
- Move agent access to just-in-time issuance Replace pre-provisioned agent accounts with task-scoped credentials that are issued only when needed and retired immediately after completion.
- Trace every delegation hop Log the full delegation chain across human, system, and agent actors so that each action can be tied back to a verifiable authority path during incident response.
What's in the full article
Strata Identity's full article covers the operational detail this post intentionally leaves for the source:
- A practical breakdown of how Maverics Agentic Identity creates and retires agent identities per task.
- Details on OAuth orchestration patterns such as OBO, token exchange, DPoP, PKCE, and CAEP.
- Examples of how cross-domain federation and delegated access are enforced in real workflows.
- The vendor's hands-on lab and sandbox flow for testing agent authentication and authorization decisions.
👉 Read Strata Identity's analysis of AI agent identity and delegated access →
AI agent identity and delegated access: are your controls ready?
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