Single Sign-On (SSO) is an authentication scheme that allows a user to log in with a single set of credentials to gain access to multiple, independent software systems without re-authenticating. It is a foundational component of federated identity management, centralizing authentication logic at a trusted Identity Provider (IdP). This eliminates password fatigue, reduces credential management overhead, and provides a unified point for enforcing security policies like Multi-Factor Authentication (MFA).
Glossary
Single Sign-On (SSO)

What is Single Sign-On (SSO)?
A core authentication mechanism within enterprise identity and access management (IAM) that enables secure, federated access to multiple applications.
Technically, SSO is implemented using standardized federation protocols. The most common are SAML 2.0, an XML-based standard for exchanging authentication and authorization data; OpenID Connect (OIDC), an identity layer built on OAuth 2.0 using JSON Web Tokens (JWT); and WS-Federation. In these flows, the Service Provider (SP) or Relying Party trusts the IdP's authentication assertion, enabling seamless, secure access across domains. For AI agents, SSO provides a mechanism to obtain a master session token, such as an OIDC ID Token, which can be used to derive scoped access tokens for calling various backend APIs on behalf of the authenticated user.
Core SSO Protocols & Standards
Single Sign-On is implemented through standardized protocols that define how authentication and authorization data is exchanged between an Identity Provider (IdP) and Service Providers (SPs). These protocols are the technical backbone of federated identity.
SAML 2.0
Security Assertion Markup Language 2.0 is an XML-based open standard for exchanging authentication and authorization data between an identity provider (IdP) and a service provider (SP). It enables web-based single sign-on (SSO) and is widely used in enterprise environments.
- Key Components: Assertions (authentication, attribute, authorization decisions), Protocols (AuthnRequest, Response), Bindings (HTTP POST, Redirect).
- Flow: The user accesses the SP, which generates a SAML AuthnRequest and redirects the user to the IdP. After authentication, the IdP creates a SAML Response containing an Assertion, which is posted back to the SP's Assertion Consumer Service (ACS) URL for validation.
- Use Case: Classic enterprise SSO for internal applications like HR systems, CRMs, and legacy web portals.
OpenID Connect (OIDC)
OpenID Connect is a modern, JSON-based identity layer built on top of the OAuth 2.0 authorization framework. It allows clients 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.
- Key Components: ID Token (a JWT), UserInfo Endpoint, Standard Claims (sub, name, email).
- Flow: Extends the OAuth 2.0 Authorization Code flow. After user consent, the client receives an Authorization Code, exchanges it for an ID Token and Access Token. The ID Token contains verifiable user identity claims.
- Use Case: Modern web and mobile applications (B2C, SaaS), API access where user identity and lightweight profile data are required. It is the foundation for "Login with Google/Facebook" and many customer-facing apps.
OAuth 2.0 (The Authorization Foundation)
OAuth 2.0 is an authorization framework, not an authentication protocol, but it is critical to modern SSO. It enables a third-party application to obtain limited access to a user's resources on an HTTP service, without sharing the user's credentials.
- Core Concept: Delegated Access. A user (resource owner) grants an application (client) permission to access specific resources (scopes) on their behalf from a resource server.
- Key Grants for SSO Context:
- Authorization Code Flow: The most secure and common flow for web apps, used by OIDC.
- Proof Key for Code Exchange (PKCE): Essential extension for mobile and single-page apps to prevent code interception attacks.
- Client Credentials Flow: For machine-to-machine (M2M) communication where no user is present.
- Role in SSO: Provides the secure token issuance and validation mechanism that OIDC layers identity on top of.
WS-Federation
WS-Federation is a SOAP/WS-Trust-based identity federation specification, part of the larger WS-* security standards. It defines mechanisms for allowing different security realms to broker information on identities, identity attributes, and authentication.
- Key Components: Security Token Service (STS), Request Security Token (RST), Request Security Token Response (RSTR).
- Flow: A user accesses a relying party (RP). The RP redirects the user to an STS. The user authenticates, and the STS issues a security token (often a SAML 1.1 token). This token is presented to the RP for access.
- Use Case: Primarily found in legacy Microsoft ecosystems (e.g., Active Directory Federation Services for SharePoint, older .NET applications). It has largely been superseded by SAML 2.0 and OIDC for most new implementations.
JWT & Token Formats
JSON Web Token (JWT) is the de facto token format for modern identity protocols. It is a compact, URL-safe token (RFC 7519) that encodes a set of claims as a JSON object, which can be digitally signed (JWS) or encrypted (JWE).
- Structure:
Header.Payload.Signature- Header: Specifies the token type (JWT) and the signing algorithm (e.g., RS256).
- Payload: Contains the claims (e.g.,
iss(issuer),sub(subject),exp(expiration), custom data). - Signature: Created by signing the encoded header and payload with a secret or private key to verify integrity.
- Usage:
- ID Token in OIDC: A signed JWT containing user identity claims.
- Access Token: Often a JWT (a "JWT access token") allowing the resource server to validate it locally without a network call.
- Validation: Resource servers validate the JWT's signature (using the IdP's public key from a JWKS endpoint), expiry, issuer, and audience.
Protocol Selection Criteria
Choosing an SSO protocol depends on application architecture, security requirements, and ecosystem. Key decision factors include:
- Application Type:
- Modern SPAs/Mobile Apps: OIDC with PKCE is the mandatory choice for its native browser/device support and security.
- Traditional Enterprise Web Apps: SAML 2.0 remains strong due to deep enterprise IdP integration and maturity.
- Machine-to-Machine (M2M): OAuth 2.0 Client Credentials Flow.
- Data Needs:
- Need simple user identity and basic claims? Use OIDC.
- Need rich, custom attribute exchange? SAML is more flexible.
- Security Profile:
- FAPI (Financial-grade API): A high-security profile of OAuth 2.0/OIDC for banking and sensitive data.
- mTLS-bound tokens: For high-assurance scenarios, combining OAuth with Mutual TLS for client authentication.
- Ecosystem: Microsoft Azure AD/Azure Entra ID supports SAML, OIDC, and WS-Fed. Many modern SaaS platforms prioritize OIDC.
How Does Single Sign-On Work?
Single Sign-On (SSO) is a centralized authentication process that enables a user to access multiple, independent applications with one set of login credentials.
Single Sign-On works by establishing a trust relationship between a central Identity Provider (IdP) and multiple Service Providers (SPs) or applications. When a user first logs into the IdP, it creates a secure, signed authentication assertion (like a SAML assertion or an OpenID Connect ID Token). This assertion is passed to the SP, which validates it using pre-shared certificates or keys, granting access without requiring separate credentials. This eliminates the need for users to manage numerous passwords and centralizes authentication logic and security policies.
The core technical flow involves protocol-based handshakes. For a user accessing an application, the SP redirects the browser to the IdP. After successful authentication, the IdP sends a cryptographically signed token back to the SP via the user's browser. The SP validates the token's signature and claims, then creates a local session. For AI agents and machine-to-machine (M2M) scenarios, SSO principles apply using protocols like OAuth 2.0 Client Credentials flow, where the agent acts as a client obtaining tokens from the IdP to access APIs on behalf of itself or a user, based on delegated permissions.
Frequently Asked Questions
Single Sign-On (SSO) is a core authentication mechanism for enterprise security and AI agent integration. These FAQs address its technical implementation, protocols, and role in modern API authentication flows.
Single Sign-On (SSO) is an authentication scheme that allows a user to log in once with a single set of credentials to gain access to multiple, independent software systems without re-authenticating. It works by establishing a trusted relationship between a central Identity Provider (IdP) and multiple Service Providers (SPs) or Relying Parties (RPs). The core workflow involves:
- A user attempts to access an application (the SP).
- The SP redirects the user to the trusted IdP for authentication.
- The user authenticates at the IdP (e.g., with a password and MFA).
- The IdP generates a cryptographically signed assertion or token (like a SAML assertion or an OpenID Connect ID Token) that confirms the user's identity and authentication status.
- This token is passed back to the SP, which validates it and creates a local session for the user, granting access. This process centralizes authentication logic, credential management, and security policies (like MFA) at the IdP.
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Related Terms
Single Sign-On (SSO) operates within a broader ecosystem of identity and access management protocols. These related concepts define the components, flows, and security models that make federated authentication possible.

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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