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title: "AI Agent Identity — Identity Glossary | IDSync"
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3.  AI Agent Identity 

Machine & Agent Identity

# AI Agent Identity

AI agent identity is the practice of giving autonomous AI agents, copilots, and bots their own first-class identities — with scoped credentials, delegated authority, audit trails, and lifecycle controls — instead of letting them impersonate users with broad permissions.

Last reviewed 3 months ago

Key points

-   Treating agents as users (with the user's credentials) is the fastest way to create unbounded blast radius.
-   Agents need their own identity records, scoped tokens, delegated consent, and revocation paths.
-   Emerging patterns: OAuth on-behalf-of, scoped delegation tokens, agent-specific OIDC clients, per-agent audit.
-   Categories forming: agent identity platforms, scoped token brokers, agent observability, agent IGA.
-   Standards are still maturing — IETF GNAP, OpenID FAPI, and emerging W3C work on agent attestation.

## What is AI agent identity?

AI agent identity is the discipline of giving autonomous AI agents — copilots, RPA bots, browser-using agents, LLM-orchestrated workflows — their **own** identities, with their own credentials, scopes, audit trail, and lifecycle. Instead of an agent acting as "Alice with all of Alice's permissions," it acts as "agent-7841, acting on behalf of Alice, with permission to read Calendar but not delete events, valid for 15 minutes."

Why it matters: the moment an agent can take real actions (send email, move money, write to a database, call other agents), it becomes a privileged actor. Borrowed user credentials give it the user's full blast radius — which, for an admin, is the entire environment. The 2024–2026 wave of agent breaches is overwhelmingly this pattern.

## What an agent identity should have

A first-class agent identity typically includes:

-   **A stable identifier** distinct from any human user.
-   **Scoped credentials** — short-lived tokens with the minimum necessary permissions.
-   **Delegated authority** — explicit "Alice gave agent-7841 the right to read her calendar," not implicit impersonation.
-   **A human owner / accountable party** — every agent has a person responsible.
-   **Lifecycle** — provisioned, governed, periodically reviewed, deprovisioned when the use case ends.
-   **Observability** — every action logged with both the agent identity and the underlying user it's acting for.
-   **Kill switch** — single-call revocation across every system the agent talks to.

## Why it can't just be a service account

Service accounts were designed for stable, system-to-system integrations: one app talks to one other app, the same way, forever. AI agents differ because:

-   They're often **user-delegated**, not just system-to-system.
-   They make **dynamic, unpredictable** calls — you can't easily pre-declare the scope.
-   They **compose with other agents**, so authority can chain in ways traditional auth wasn't designed for.
-   They scale up and down constantly, so static credentials don't fit.

## Emerging patterns

-   **OAuth on-behalf-of / token exchange (RFC 8693)** — propagating a user's delegated authority to a downstream agent or service.
-   **Scoped delegation tokens** — bespoke short-lived tokens that encode "this agent, acting for this user, can do these specific things, until this time."
-   **Per-agent OIDC clients** — each agent registered as its own client, with its own credentials and scope.
-   **GNAP (IETF)** — a next-gen authorization protocol designed with agents and richer delegation in mind.
-   **Agent attestation** — proving "this token is being presented by the agent I provisioned, not a clone."

## When buyers care

You need an agent identity strategy before:

-   Your team starts shipping agents that take _write_ actions in production systems.
-   Your copilots start accessing customer or financial data on behalf of users.
-   You start chaining agents (one agent calling another).
-   An auditor asks "what did this agent do, on whose authority, and how do you know?"

## Common pitfalls

-   **Sharing one API key across all agents.** No per-agent audit, no per-agent revocation, full blast radius.
-   **Using the user's session token directly.** Same problem, amplified by impersonation.
-   **No scope on the token.** Defaults to "everything the user can do."
-   **No lifecycle.** Agents proliferate, nobody owns them, nobody retires them.

## FAQ

### Is agent identity the same as non-human identity (NHI)?

Agent identity is a subset of [NHI](/glossary/non-human-identity). NHI covers service accounts, workload identities, machine identities, secrets — anything that isn't a human. AI agents are a newer, more dynamic flavor that strains assumptions of older NHI tools.

### Can my existing IdP handle agent identity?

Most can register agents as OAuth clients today, but features like delegated authority chaining, agent-specific governance, and agent observability are still maturing. This is one of the most active vendor categories on IDSync.

## Standards & references

-   [OWASP — Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/)

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### Vendor categories

[ai agent identity](/directory/category/ai-agent-identity)[non human identity](/directory/category/non-human-identity)

### Related terms

[non human identity](/glossary/non-human-identity)[workload identity](/glossary/workload-identity)[oauth 2](/glossary/oauth-2)[openid connect](/glossary/openid-connect)

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