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Verified user identity for AI agents

This architecture playbook is for establishing a verified user identity for your AI agent, which takes action on behalf of a human user.

Complexity

High

Security level

High

Est. time

2–4 hours

Ease

Moderate

Architecture type

User authentication

Auth flows covered

Universal Login, Embedded Login

Use case
  • B2C agents acting on behalf of end users

  • B2B agents operating within customer workflows

  • Internal agents tied to employee identity

Users

Builders making foundational identity decisions

What verified user identity looks like

Auth0 verifies the user interacting with your AI agent through Universal Login or an Embedded Login experience. Once verified, the agent receives a scoped, time-limited token tied to that specific user’s context. Every action the agent takes is authorized by and attributable to that person. When the token expires, access stops.

Explore Auth0 for AI Agents
AI agent with user auth flow, including Auth0 audit log feature

When you should use this playbook

Follow this playbook whenever a human initiates an action within an application, tool, or agent.

Use when:

Your AI agent takes actions on behalf of an authenticated user

You need every AI agent action attributed to a verified user identity

You're in a regulated environment requiring audit trails for users

You're building a B2C, B2B, or internal AI agent that serves human users

Skip when:

Your AI agent runs as a background service with no user present

Your action requires no user context or permission boundary

Your AI agent takes no actions on behalf of a human user

You're looking for machine-to-machine authentication

Have product or technical questions?

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Get these four things now so you’re not rebuilding them later.

Set up the right identity foundation for your AI agents now, so you can see the payoffs later.

Audit and approval trail

Scoped agent permissions

Reduced technical debt

No hardcoded credentials

Build approach comparison

Compare the common build approaches and their respective risks.

Approach

Best for

Auth flow

Potential risks

Risk

Recommended

Verified user identity

AI agent acts on behalf of an authenticated user

Auth0 Authentication

Human error leading to approval of an AI agent's action, but with a clear audit trail

MEDIUM

YES

Hardcoded credentials

Quick, functional build

None

Credentials leaking into public repos, an agent has over-permissioned access, no audit trail back to a specific user

HIGH

NO

Implementation docs and guidance

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