OpenID Connect is an authentication and identity layer built on top of the OAuth 2.0 authorization framework. It enables clients—including AI agents and backend services—to verify the identity of an end-user based on the authentication performed by an authorization server and to obtain basic profile information about the user in an interoperable and REST-like manner. Unlike OAuth 2.0, which is primarily for delegated authorization, OIDC standardizes the process for obtaining verifiable identity claims, returning a signed JSON Web Token called an ID Token.
Glossary
OpenID Connect (OIDC)

What is OpenID Connect (OIDC)?
OpenID Connect is the definitive identity layer for modern API security, built directly on OAuth 2.0 to provide authentication for zero-trust architectures.
The protocol is fundamental to zero-trust API gateways, providing a standardized mechanism for context-aware authorization. An AI agent acting on a user's behalf presents an OIDC ID Token to a Policy Enforcement Point, which validates the token's signature and claims to confirm the user's authenticated identity before permitting API access. This decouples authentication logic from applications, centralizes identity management, and provides the verified user context required for dynamic policy decision points to enforce least-privilege access.
Core Components of OIDC
OpenID Connect (OIDC) is an identity layer built on OAuth 2.0 that standardizes authentication, allowing clients to verify an end-user's identity and obtain basic profile information. Its core components define the protocol's flow, tokens, and endpoints.
How OpenID Connect Authentication Works
OpenID Connect (OIDC) is the identity layer built atop OAuth 2.0 that enables clients to verify an end-user's identity and obtain basic profile information through a standardized authentication flow.
OpenID Connect is an identity layer built on the OAuth 2.0 authorization framework. It adds a standardized authentication protocol, enabling a Relying Party (client application) to verify the identity of an End-User based on the authentication performed by an Authorization Server (OpenID Provider). The core mechanism is the issuance of a verifiable ID Token, a JSON Web Token (JWT) containing authenticated user claims. This separates authentication from authorization, allowing clients to confirm 'who the user is' independently of 'what the user can access'.
The primary flow, the Authorization Code Flow, begins when the client redirects the user to the OpenID Provider. After the user authenticates (e.g., via credentials or Single Sign-On), the provider returns an authorization code to the client. The client then exchanges this code, along with its credentials, for an ID Token and usually an OAuth 2.0 Access Token. The client validates the ID Token's signature and claims using the provider's published JWKS (JSON Web Key Set). For Zero-Trust API Gateways, this ID Token is a critical credential presented to the Policy Enforcement Point (PEP) for context-aware authorization decisions before API access is granted.
Frequently Asked Questions
OpenID Connect (OIDC) is the identity layer for modern API security. These questions address its role in authenticating AI agents and users within a zero-trust architecture.
OpenID Connect (OIDC) is an identity layer built on top of the OAuth 2.0 authorization framework that adds authentication, providing a standardized way for clients (like an AI agent) to verify the identity of an end-user and obtain basic profile information. It works by extending the OAuth 2.0 flow: after a user authenticates with an Identity Provider (IdP) like Auth0 or Okta, the client receives not just an OAuth access token, but also a signed ID Token (a JSON Web Token or JWT). This ID Token contains verifiable claims about the user's identity, such as sub (subject identifier), email, and name. The client can validate this token's signature to confirm it came from a trusted IdP, thereby authenticating the user. OIDC also defines a standard UserInfo endpoint where clients can fetch additional profile attributes using the access token.
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Related Terms
OpenID Connect (OIDC) operates within a broader ecosystem of authentication, authorization, and security protocols essential for securing API traffic from AI agents. These related concepts define the mechanisms for verifying identity, enforcing policy, and protecting backend services.
Policy Enforcement Point (PEP)
In a zero-trust architecture, the API Gateway acts as the critical Policy Enforcement Point for traffic from AI agents. The PEP intercepts every request and enforces access decisions.
- Function: It is the component that executes the authorization decision. For an OIDC-secured API, the PEP validates the JWT, extracts claims, and checks them against policies.
- Integration: The PEP queries a Policy Decision Point (PDP) for complex decisions but handles straightforward JWT validation and scope checking locally.
- Actions: Based on policy, the PEP can allow, deny, or transform (e.g., strip headers, rate limit) the request before it reaches the backend service.
Mutual TLS (mTLS)
Mutual TLS is a strong client authentication protocol that can be layered with OIDC for a defense-in-depth strategy at the API gateway. It authenticates both the client (AI agent) and the server.
- Mechanism: Both parties present and validate each other's X.509 digital certificates during the TLS handshake, establishing a cryptographically verified identity for the client machine or service.
- Combination with OIDC: mTLS can authenticate the machine (the agent's runtime), while OIDC authenticates the user or service identity the agent is acting upon. The gateway can require both.
- Zero-Trust Relevance: Provides a strong, phishing-resistant credential for machine-to-machine communication, a common pattern for AI agents calling APIs.
Role-Based Access Control (RBAC)
RBAC is a prevalent authorization model where permissions are assigned to roles, and users (or service principals) are assigned to those roles. OIDC claims are commonly used to convey role information to the API gateway.
- OIDC Integration: The user's roles are often included as a claim in the ID Token or Access Token (e.g.,
roles: ["editor", "viewer"]). - Gateway Enforcement: The PEP extracts the
rolesclaim from the validated JWT and checks if any of the user's roles have the permission required for the requested API endpoint. - Scale: Simplifies policy management for large systems by grouping permissions. For dynamic, attribute-based decisions, it is often combined with or superseded by Attribute-Based Access Control (ABAC).

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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