---
title: "Agent as Principal: A Purpose-Built Identity for Agents"
description: "Learn why traditional M2M security fails for AI infrastructure and how treating your AI Agent as a Principal unlocks secure, production-ready workflows."
authors:
  - name: "Ashish Lal"
    url: "https://auth0.com/blog/authors/ashish-lal/"
date: "Jul 30, 2026"
category: "Announcements"
tags: ["ai", "ai agents", "identity"]
url: "https://auth0.com/blog/agent-as-principal-purpose-built-identity-for-agents/"
---

# Agent as Principal: A Purpose-Built Identity for Agents

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## What Is Blocking AI Agents from Production?

Most identity platforms have models for users and for applications, but [not for AI agents that can act on behalf of users](https://auth0.com/blog/ai-agents-are-not-users) one moment and run unsupervised the next. In the absence of native agent identity, teams are left fitting agents into static [Machine-to-Machine (M2M)](https://auth0.com/docs/get-started/authentication-and-authorization-flow/client-credentials-flow) client profiles or treating them as end users. Neither workaround holds up because a single agent often needs to operate in multiple modes at once:
* As a client calling APIs on behalf of a user — for example, a code agent opening a pull request for a developer.
* As an autonomous actor running scheduled or triggered work with no user session at all.

Today's identity primitives handle each mode independently, but nothing ties them together. Tokens carry application IDs instead of stable agent identities, so you lose auditability. The consequences show up quickly. [Delegation chains](https://auth0.com/blog/the-many-faces-of-oauth2-token-exchange) break when a task passes from one agent associated with a client to another, each M2M client authenticates as itself, not as ‘the user’s agent’. So, once a task hops from client A to client B, there is no standard way to carry forward whose request this originally was. The ‘on behalf of the user’ context disappears. Static, broadly scoped permissions compound this. 

Given a client’s grants are set once at registration and applies to everything a client ever does, teams tend to provision generously upfront. Over time, the client accumulates broader access, well past what any single task actually needs, leading to privilege creep. Without a native way to trace who acted on whose behalf, teams fall back to hardcoded API keys and shared credentials that are hard to rotate or revoke at scale.

This issue is part of what is blocking enterprises from moving agents into production today, and it is the gap [Agent as Principal](https://auth0.com/docs/ai-agents-mcp/agents-as-principal) is designed to close.

## What Is Agent as Principal?

Agent as Principal introduces AI agents as first-class identities in Auth0, distinct from human users and traditional M2M clients. An agent is a registered entity with a stable identifier, its own lifecycle management, and its own audit trail.

Once registered, an agent can operate in multiple modes, acting on behalf of users, running autonomously without a user session. A single agent can also be backed by more than one underlying M2M client, giving it one durable identity across multiple credentials.

That distinction is what lets a single agent move between both modes named above without losing traceability at the seams. The same agent that calls an API on a user's behalf one moment can run fully unsupervised the next, and still show up as one consistent, auditable identity throughout.

[Agent as Principal](https://www.okta.com/en-ca/newsroom/articles/auth0-may-2026-product-innovations/) is now available in Early Access.

## How Does Agent As Principal Address the Agent Identity Problem?

Agent as Principal closes the agent identity gap by giving agents a stable identity, a traceable audit trail, a verifiable way to delegate, and the ability to act on its own.

### Purpose-built lifecycle management

Agents are managed through a Management API where you can create, update, or delete an agent record with a single API call. Every agent has its own stable identifier separate from any human user or application. Deleting an agent record does not disrupt other agents or users, and the identity model is designed so that this lifecycle no longer needs to be bolted onto a human-user or generic service-account pattern that was not built for it. In practice, that means you can retire an agent the moment its job ends, without worrying about breaking a shared service account that other workflows still depend on.

### Traceable activity tied to a stable identity

When an agent associated with a client is used, whether for a client credentials grant, a refresh token grant, an on-behalf-of token exchange, or a standard login flow, the agent's identifier is included in the resulting tenant log entry, rather than just the underlying client ID. That gives platform teams a way to audit and monitor by agent, not just by application. So, when something goes wrong, you know exactly which agent to look at instead of untangling every workflow that touches a shared client ID.

### Verifiable delegation

AI workflows are rarely single agents. An orchestrating agent may call downstream services on a user's behalf, which in turn call further services. Agent as Principal supports this through OAuth token exchange. When an agent associated with a client exchanges a user's token for a delegated one, the resulting token carries an act claim showing the immediate actor and, where applicable, the client that originated the request, nested up to several hops deep. This means a resource server can see not just who the token was issued for, but which agent and client acted on the way there. This enables you to reconstruct and audit the entire delegation chain instead of losing that context at each hop.

### Autonomous execution

Agents can also run entirely unsupervised. A scheduled data sync, a triggered remediation job, a background monitoring task, with no user in the loop at all. Agent as Principal handles this through the same client credentials grant used by any M2M client, except the resulting token’s subject is the agent itself. That means even purely autonomous work still carries a stable agent identity into the token and the tenant logs. This closes the second mode named earlier, running scheduled or triggered work with no user session at all. So, when an unattended job does something unexpected, you are troubleshooting against a specific agent's identity, not chasing down every workflow that happens to share that client's credentials.

**Demo walkthrough of Auth0 Agent as Principal:**

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## The Bottom Line

Agents have been squeezed into identity patterns that were never built for them since day one, and that mismatch, not the underlying AI, is what's kept so many agentic projects stuck in pilot. Agent as Principal helps address that blocker by giving agents the same first-class identity treatment users and applications have always had. This enables your security teams to approve agentic workflows instead of stalling them, and you can scale from one agent to a thousand without your risk exposure scaling right alongside it.
To participate in the EA for Agent as Principal, contact [Auth0 Support](https://support.auth0.com/) or your Technical Account Manager.