AI Agent Authorization

Authorization answers a bounded operational question: may this identified agent perform this requested operation on this resource in this context? Identity and authentication establish which agent is making the request and verify that claim. Authorization systems then evaluate applicable permissions and enforce the result.

AI Agent Delegation explains where on-behalf-of authority came from; AI Agent Decision Authority explains which underlying decisions the enterprise permits the agent to make autonomously. Neither is interchangeable with technical Authorization. An agent can have permission to submit a payment instruction while still requiring a human to decide that the payment should occur.

IAM and identity infrastructure authenticate identities and technically enforce permissions. Alterlayer governs enterprise context, accountability and material changes around those permissions. Alterlayer does not issue access tokens, authenticate agents, grant API permissions, enforce RBAC or ABAC, replace Microsoft Entra or another IAM provider, or operate an authorization server.

AI Agent Identity answers “Which agent is this?” Authentication answers “How is that claimed identity verified?” Authorization answers “What is that identified and authenticated agent permitted to access or do?”

These steps depend on one another without becoming the same concept. An identifier alone does not prove that the requester controls the identity, successful authentication does not grant every permission and authorization does not establish the agent’s organizational purpose or accountability. Technical identity and access systems perform the authentication and enforcement work; Alterlayer maintains governance context around the identified AI Object.

Least privilege for AI agents means that an agent should generally receive only the access and permissions necessary for its legitimate purpose. An agent should have its own attributable, bounded permissions where the technical architecture permits, rather than relying on an undifferentiated human account or inheriting a user’s complete access by default.

The appropriate authorization design depends on the use case and technical environment. The following questions are illustrative governance and authorization considerations, not mandatory Alterlayer fields or a description of an Alterlayer policy engine:

• Which systems, APIs and resources may the agent access or invoke?
• Which operations may it perform, and in which environment or tenant?
• Does a role, approved purpose or organizational policy narrow the permission?
• For how long does the permission apply, and under which contextual conditions?
• Does the permission depend on delegated authority from a Principal?

Delegation is authority transferred from a Principal to an Agent, including an on-behalf-of relationship. Authorization determines and enforces whether the agent may perform a specific action or access a particular resource. Delegation explains the source and scope of authority; Authorization evaluates a requested operation against applicable permissions and conditions.

Their relationship can be expressed as Principal delegates bounded authority → Agent presents its identity and relevant context → authorization system determines whether the requested operation is permitted. A valid delegation does not guarantee every request will be authorized, and a technical permission does not by itself explain which Principal supplied the mandate.

Technical Authorization asks: “Can the agent perform this operation?” AI Agent Decision Authority asks: “Should organizational governance allow the agent to make the underlying decision autonomously?” This is a critical enterprise boundary because technical capability and organizational authority can diverge.

For example, an agent may technically have permission to submit a payment instruction. That permission does not necessarily give the agent organizational Decision Authority to decide that the payment should occur. The enterprise may require a person to authorize the decision before the technically permitted operation is executed.

Human Authorization is the required act of an authorized person approving a decision or action. It is not the same as a technical authorization decision made by an access-control system. A system may permit the operation while governance still requires human authorization before execution; this page introduces that boundary without defining a separate Human Authorization operating model.

Technical permissions determine what an identity can access or do; they do not determine which human is accountable for the AI Object. Granting, narrowing or withdrawing a permission does not transfer ownership, and an agent’s ability to act does not make the agent the accountable human principal.

AI Ownership remains the canonical concept for explicit organizational accountability throughout the AI Object’s lifecycle. Ownership gives authorization questions an accountable destination, but permission does not equal ownership or accountability.

When an agent acts on behalf of a user, organization or system, authorization may need to consider both the acting Agent and the represented Principal. The agent should not automatically receive every permission belonging to that Principal. Scoped delegation can constrain the on-behalf-of relationship by purpose, resource, operation, time, context and other appropriate boundaries.

A secure on-behalf-of design preserves the agent’s own attributable identity while carrying enough Principal and delegation context for the authorization system to evaluate the request. The exact token, credential and policy mechanisms belong to the organization’s IAM and application architecture, not to Alterlayer.

When one agent invokes another, the second agent should not automatically inherit every permission or organizational authority held by the first. In the sequence Principal → Agent A → Agent B → Resource, each hop can change the identities, technical permissions, delegated scope and applicable policy.

Relevant questions include: Which identity is the Resource authorizing? Which Principal originated the authority? What scope survived delegation? Was Agent A permitted to re-delegate? What permissions does Agent B actually receive? Answering these questions may require both scoped delegation and authorization at the relevant boundaries; the ability of Agent A to call Agent B is not itself an authorization for Agent B to reach the Resource.

Agent authorization should not be assumed to remain static. A purpose change, new deployment or integration, permission expansion, Owner change, new delegation, incident, exception, lifecycle restriction or retirement can make the existing permissions inappropriate. Material changes may require governance review even when an IAM administrator can implement them technically.

Authorization can expire or be withdrawn when access is no longer required, an agent becomes Restricted or Retired, delegated authority is revoked, a credential expires, the business purpose ends or unacceptable risk or an exception is identified. Technical teams may disable credentials, remove grants or change policy to enforce that outcome. This page treats revocation only as part of the authorization lifecycle; it does not establish a separate definition for Revocation of AI Agent Authority.

AI Governance Operations may need to maintain context about what agent exists, who owns it, its purpose, the authority delegated to it, its material permissions, whether those permissions remain appropriate, whether a change requires review, where human authorization is required and which meaningful governance decision should be retained. AI Agent Governance provides the broader organizational discipline for those activities.

Material authorization changes may warrant AI Governance Records. Examples include materially expanded permissions, sensitive access granted, an exceptional authorization approved, a significant restriction or material authorization revoked. This is selective: every access request, policy evaluation, access-token issuance or denial should not become a Governance Record.

Technical authorization logs and Governance Records therefore remain distinct. Logs support security operations and show granular system events; Governance Records preserve meaningful enterprise reviews, decisions and changes with their governance context.

There is no single standardized universal “AI Agent Authorization Protocol.” Established technical building blocks include OAuth 2.0 (RFC 6749), a published IETF Standards Track RFC for delegated authorization; OAuth 2.0 Token Exchange (RFC 8693), a published Standards Track RFC with impersonation and delegation semantics; and OpenID Connect Core 1.0, a final OpenID Foundation specification that adds an identity layer to OAuth 2.0. These specifications can support technical identity and access flows, but they do not assign enterprise Ownership or Decision Authority.

SPIFFE is a project specification for workload identity. IETF WIMSE develops workload-identity architecture and credential work through Working Group Internet-Drafts. The emerging AI Agent Authentication and Authorization document is an individual Internet-Draft that applies existing WIMSE, OAuth and related work to agents; it is work in progress, has no formal IETF standing and is not an adopted RFC.

The W3C Agent Identity Registry Protocol Community Group is incubating agent identity, authorization-scope and interoperability ideas; Community Group work is not a W3C Recommendation. Microsoft Entra Agent ID is a vendor implementation for agent identity, authorization and lifecycle controls, not a vendor-neutral standard. These efforts show an active ecosystem built from established and emerging components rather than one universal agent authorization protocol.

IAM and identity infrastructure authenticate identities and technically enforce permissions. Alterlayer governs enterprise context, accountability and material changes around those permissions. Alterlayer can help governance teams connect an identified agent and its material access to purpose, Owner, delegated authority, Decision Authority, human authorization boundaries, lifecycle reviews and relevant governance history.

Alterlayer does not issue access tokens, authenticate agents, grant API permissions, enforce RBAC or ABAC, replace Entra or other IAM infrastructure, operate an authorization server or make runtime access decisions. Organizations that need ongoing support maintaining the surrounding governance context can explore Managed AI Governance.