OpenID Connect (OIDC) is an authentication protocol that standardizes how a relying party verifies a user's identity based on the authorization performed by an OpenID Provider. It extends OAuth 2.0 by issuing an ID Token—a cryptographically signed JSON Web Token (JWT) containing user claims—alongside the access token, allowing clients to confirm identity without managing passwords.
Glossary
OpenID Connect (OIDC)

What is OpenID Connect (OIDC)?
An identity layer built on top of the OAuth 2.0 framework that enables clients to verify end-user identity and obtain basic profile information in an interoperable, REST-like manner.
The protocol defines a discovery mechanism via a /.well-known/openid-configuration endpoint, enabling dynamic registration and automated retrieval of provider metadata. Core flows include the Authorization Code Flow for server-side apps and the Hybrid Flow for native clients, ensuring secure, stateless identity propagation across zero-trust architectures and microservices.
Core Characteristics of OIDC
OpenID Connect (OIDC) is an identity layer built on top of the OAuth 2.0 framework that enables clients to verify end-user identity and obtain basic profile information in an interoperable, RESTful manner.
ID Token: The Core Artifact
Unlike OAuth 2.0, which is an authorization framework, OIDC introduces the ID Token, a JSON Web Token (JWT) that contains claims about the authenticated user. This token is digitally signed by the OpenID Provider (OP) and consumed by the Relying Party (RP) to establish a session. Key claims include:
sub: A unique, immutable user identifieriss: The issuer URL of the OPaud: The client ID of the RPexpandiat: Expiration and issuance timestamps
The UserInfo Endpoint
A protected RESTful API endpoint that returns claims about the authenticated user. After obtaining an Access Token, the RP sends a GET or POST request to the UserInfo endpoint to retrieve additional identity attributes like email, name, and picture. This decouples the user's identity data from the ID Token, keeping the initial token lightweight and allowing for just-in-time attribute retrieval.
Discovery and Dynamic Registration
OIDC enables zero-configuration federation through OpenID Connect Discovery. By fetching the /.well-known/openid-configuration document from the issuer, RPs can dynamically discover all necessary endpoints, supported scopes, and cryptographic keys. Dynamic Client Registration allows RPs to programmatically register themselves with the OP, automating the onboarding process in multi-tenant environments.
Scopes and Claims
OIDC uses scopes to request specific sets of user information. Standard scopes include:
openid: Mandatory scope indicating an OIDC requestprofile: Requests access to default profile claims (name, picture, zoneinfo)email: Requests theemailandemail_verifiedclaimsaddress: Requests the user's postal addressphone: Requests thephone_numberandphone_number_verifiedclaims
Claims can also be requested individually using the claims request parameter for fine-grained control.
Session Management and Logout
OIDC provides mechanisms for managing user sessions across multiple RPs:
- RP-Initiated Logout: Allows an RP to redirect the user to the OP's
end_session_endpointto terminate the OP session and optionally notify other RPs. - Session Management: Uses an invisible iframe and the OP's
check_session_iframeto monitor the user's authentication state without polling. - Back-Channel Logout: A direct server-to-server notification from the OP to all registered RPs when a user logs out, enabling immediate session termination.
Frequently Asked Questions
Clear, technical answers to the most common questions about the OpenID Connect identity protocol, its relationship to OAuth 2.0, and its role in modern zero-trust architectures.
OpenID Connect (OIDC) is an identity layer built on top of the OAuth 2.0 framework that allows clients to verify the identity of an end-user based on the authentication performed by an authorization server. It works by issuing an ID Token—a JSON Web Token (JWT)—alongside or instead of an OAuth 2.0 access token. The ID Token contains cryptographically signed claims about the user, such as their unique identifier (sub), issuer (iss), and audience (aud).
Core Flow
- The Relying Party (RP) redirects the user to the OpenID Provider (OP).
- The OP authenticates the user and obtains consent.
- The OP redirects the user back to the RP with an authorization code.
- The RP exchanges the code for an ID Token and optionally an Access Token at the token endpoint.
- The RP validates the ID Token's signature and claims, establishing an authenticated session.
This decouples authentication from the application, enabling Single Sign-On (SSO) across multiple services without sharing user credentials.
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OIDC vs. OAuth 2.0 vs. SAML
A technical comparison of the three dominant identity federation standards used in zero-trust AI networking for securing model endpoints and training data pipelines.
| Feature | OpenID Connect (OIDC) | OAuth 2.0 | SAML |
|---|---|---|---|
Primary Purpose | Authentication + Authorization | Authorization (Delegated Access) | Authentication + Authorization |
Core Function | Verifies user identity and provides basic profile data via an ID Token | Grants scoped access to protected resources without sharing credentials | Exchanges authentication and authorization data between an |
Related Terms
Core protocols and security mechanisms that interoperate with OpenID Connect to form a complete identity and access management architecture.

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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