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World desk5 min

How Should You Authenticate AI Agents Acting on a User’s Behalf?

AI agents need more than credentials: products must distinguish workload identity from delegated authority and define how permissions are scoped, verified, audited, and withdrawn.
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Authenticate an AI agent as a workload, but do not confuse its identity with the user or organization whose authority it is using. Then make each request carry enough verifiable authorization context for the receiving service to determine which resource and operation are allowed, under whose delegation, and for how long. That makes authentication a product decision: it shapes permissions, consent, auditability, and what happens when authority must be withdrawn.

Why is agent authentication more than a login problem?

An AI agent can run as a workload, call tools and services, and act under authority delegated by a person or an organization. A login identifies an actor; it does not, by itself, establish that every action the actor requests is allowed.

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Product teams therefore need to answer two connected questions. Authentication establishes which agent or workload is making a request. Authorization determines what that agent may do, which resource it may access, and whether the request is within authority delegated by a principal. The IETF’s AI Agent Authentication and Authorization Internet-Draft treats both as part of the problem rather than assuming an agent’s authenticated identity settles permission.

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Whose identity does a request need to establish?

Keep the agent’s identity distinct from the identity of the human or organization it represents. A receiving service needs to know which workload is making the call, while also being able to establish the principal behind any delegated authority. Treating those as one identity makes it harder to tell whether an action belongs to the agent independently or is being taken on someone else’s behalf.

The August 2026 IETF internet architecture draft makes this separation an explicit requirement. It is a draft requirement, not a guarantee about how existing agent products behave. The practical design test is whether a resource server can determine the effective authority for a request without relying on unsupported claims made by an intermediary agent.

What should a product decide before an agent calls a tool?

Define authority in terms of the particular resource and operation, not merely the fact that an agent has a credential. A broad bearer credential should not be treated as proof that every action the agent might attempt is permitted. The architecture draft recommends audience restriction and narrow scope; the product design should make clear what each authorization artifact is intended to authorize.

  • Principal: Is the agent acting independently, or on behalf of a user or organization?
  • Workload identity: How is the agent bound to an identity or key that lets a service recognize the workload making the request?
  • Resource and operation: Which particular resource and actions are within scope?
  • Delegation: If the request passes through other agents or tools, can each step be verified and can authority be narrowed?
  • Consent and audit: What evidence records the authority granted and the actions taken under it?
  • Lifetime and withdrawal: How does the authority expire or get revoked?

These are decision criteria drawn from current IETF work, not a finished product-selection rubric. The cited drafts outline requirements and directions; they do not establish that one implementation pattern suits every product.

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How should delegation work across agents and tools?

When an agent passes work to another agent or tool, preserve enough verifiable context for the recipient to determine the authority behind the request. A downstream service should not have to accept an intermediary’s unsupported assertion that a user approved an action. At the same time, a recipient should receive only the delegation information it needs, rather than unnecessary details about the principal.

The August 2026 architecture draft calls for verifiable multi-hop delegation with privacy-aware disclosure. It also recommends authority that is short-lived or revocable. These are proposed requirements in an Internet-Draft, not claims that every deployed system already supports them. For product teams, the design implication is to consider delegation as a chain of bounded authority, not as permission that automatically expands whenever work moves to another component.

What is established guidance, and what is still evolving?

The standards status matters when turning an architectural direction into a product commitment. RFC 9700, Best Current Practice for OAuth 2.0 Security, was published in January 2025 and is the published OAuth security baseline covered here. The agent-specific materials below are Internet-Drafts: proposals that can change and are not final RFCs.

  • AI Identity Management System: Published as an IETF Internet-Draft on 15 September 2026, it proposes best practices applying WIMSE and OAuth 2.0 to AI agent interactions. Its abstract says, “This document proposes best practices for authentication and authorization of AI agent interactions.”
  • AI Agent Authentication and Authorization, revision 03: Published on 6 July 2026, this Internet-Draft proposes using existing standards while identifying agent-specific gaps.
  • Internet architecture draft, revision 01: Published in August 2026, this Internet-Draft sets out requirements including separation of agent and principal identities, resource-scoped evidence, verifiable multi-hop delegation, and revocable or short-lived authority.
  • AI Agent Authorization Integration Framework, draft 00: Published on 6 July 2026, this Internet-Draft describes combining OAuth extensions for cross-domain identity, policy-based authorization, consent evidence, and multi-hop delegation.

Use RFC 9700 as the published OAuth security foundation described by these sources. Treat the agent-specific requirements and integration approaches as evolving proposals, and avoid presenting them as settled standards or universally implemented features.

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How can a team turn these principles into a product decision?

  1. Map the actors. Identify each agent workload, the principal it may represent, and the services that receive its requests. Do not collapse the workload identity and principal identity into a single role.
  2. Specify allowed actions. For each receiving service, define the relevant resources and operations. Decide how the authorization evidence will be restricted to its intended audience and scope.
  3. Trace delegated calls. Follow a representative request through every agent and tool it may pass. At each handoff, ask whether the recipient can verify the authority and whether the next step can be limited to no more than the authority already granted.
  4. Define consent and records. Determine what evidence of consent or delegation the product needs to retain and what a service must be able to verify. Keep disclosures to recipients limited to what their role requires.
  5. Set an end to authority. Decide how delegated authority expires or is revoked, and how services learn that it is no longer valid. Short-lived or revocable authority is a direction in the architecture draft, not a feature to assume without implementation evidence.
  6. Mark standards dependencies. Separate requirements satisfied by published OAuth guidance from features that depend on the evolving agent-specific drafts. This makes the product’s security claims and implementation choices easier to assess as those drafts change.

Identity and access management platforms that implement workload identity or OAuth authorization are a relevant category to evaluate when making these implementation decisions. The cited standards documents do not establish a particular vendor recommendation or product fit.

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