Inferensys

Glossary

Single Sign-On (SSO)

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.
Developer demonstrating multi-agent tool use, agent tool selection interface on laptop, casual tech demo moment.
AUTHENTICATION

What is Single Sign-On (SSO)?

Single Sign-On (SSO) is a core authentication mechanism within zero-trust security architectures, enabling secure, centralized access management for AI agents and users.

Single Sign-On (SSO) is an authentication scheme that allows a user or system identity to log in once with a single set of credentials to gain access to multiple, independent software systems without being prompted to log in again at each one. In a zero-trust API gateway context, SSO acts as a centralized Policy Enforcement Point (PEP), validating an initial identity assertion—often via OpenID Connect (OIDC)—and issuing a secure session token. This token is then presented to downstream services, which trust the gateway's authentication decision, enforcing the principle of 'never trust, always verify' for all subsequent requests.

For AI agent tool-calling, SSO is critical for managing secure access to diverse APIs. An agent authenticates once at the gateway, receiving a JSON Web Token (JWT). This token, containing authorized scopes and roles, is used for all subsequent API calls, eliminating the need to manage multiple credentials. The gateway performs continuous verification on this token, applying context-aware authorization policies based on the agent's identity, requested action, and target resource. This centralized control simplifies audit logging and enforces least privilege access across all integrated services.

ARCHITECTURE

Core Components of an SSO System

Single Sign-On (SSO) is an authentication scheme that allows a user to log in once to gain access to multiple independent systems. Its security and functionality are built upon several interconnected components.

01

Identity Provider (IdP)

The Identity Provider (IdP) is the central, trusted service that performs authentication and issues assertions about a user's identity. It is the 'source of truth' for user credentials and session state.

  • Primary Role: Authenticates users, manages sessions, and generates security tokens (like SAML assertions or JWTs).
  • Key Protocols: Supports standards like SAML 2.0, OpenID Connect (OIDC), and WS-Federation.
  • Examples: Okta, Microsoft Entra ID (Azure AD), Ping Identity, Auth0, Keycloak.
02

Service Provider (SP) / Relying Party (RP)

The Service Provider (SP) or Relying Party (RP) is the application or service the user wants to access. It trusts the Identity Provider to authenticate users and delegates that responsibility.

  • Primary Role: Consumes authentication assertions from the IdP, grants application access, and enforces local permissions.
  • Trust Relationship: Must be pre-configured with the IdP's metadata (e.g., public signing certificates, endpoints).
  • Process: Redirects unauthenticated users to the IdP and validates the returned security token.
03

Security Assertion Markup Language (SAML)

Security Assertion Markup Language (SAML) is an XML-based open standard for exchanging authentication and authorization data between an IdP and a Service Provider. It is a core protocol for many enterprise SSO implementations.

  • Assertions: Carry statements about a user's authentication, attributes, and authorization decisions.
  • Flow: Uses browser POST or redirect bindings to exchange messages.
  • Use Case: Common in B2B and enterprise applications where the SP and IdP are in different security domains.
04

OpenID Connect (OIDC) & OAuth 2.0

OpenID Connect (OIDC) is a modern, JSON-based identity layer built on OAuth 2.0. It provides authentication (verifying who the user is) using the OAuth 2.0 authorization framework.

  • ID Token: A JSON Web Token (JWT) that contains verifiable claims about the user's identity.
  • UserInfo Endpoint: A standardized API to retrieve additional user attributes.
  • Advantage: Simpler and more API-friendly than SAML, making it ideal for modern web and mobile applications.
05

Session Management & Single Logout (SLO)

Session Management is the mechanism by which the IdP maintains a user's authenticated state across multiple Service Providers. Single Logout (SLO) terminates all sessions across all participating applications simultaneously.

  • Central Session: The IdP maintains a primary session; SP sessions are derivatives.
  • SLO Protocols: Both SAML and OIDC define standards for logout propagation.
  • Challenge: Requires all SPs to support the logout protocol and be reachable at logout time, which can be complex in distributed environments.
06

User Attribute Store & Just-In-Time Provisioning

The User Attribute Store is the directory or database (like LDAP, Active Directory, or a SQL database) where the IdP retrieves user profile information (e.g., email, groups, roles).

  • Just-In-Time (JIT) Provisioning: A process where a user account is automatically created in the SP's local user directory upon first successful SSO login, using attributes from the IdP's assertion.
  • Benefits: Eliminates manual user account management at the SP and enables seamless access for new users.
AUTHENTICATION MECHANISM

How Does Single Sign-On Work?

Single Sign-On (SSO) is a core authentication mechanism within a zero-trust architecture, enabling secure, centralized access control for AI agents and users across multiple independent applications.

Single Sign-On (SSO) is an authentication scheme that allows a user or autonomous agent to log in once with a single set of credentials to gain access to multiple, independent software systems without re-authenticating at each one. The process begins when the user attempts to access a Service Provider (SP) application. Instead of presenting credentials directly, the SP redirects the request to a trusted Identity Provider (IdP). The IdP authenticates the user—often via a password, multi-factor authentication, or a client certificate—and, upon success, issues a cryptographically signed security assertion, typically a Security Assertion Markup Language (SAML) token or an OpenID Connect (OIDC) ID Token.

This assertion is passed back to the Service Provider, which validates the token's signature and issuer. Upon successful validation, the SP establishes a local session for the user, granting access. For AI agents operating within a zero-trust API gateway, this flow is automated. The agent's identity, often represented by a service account or managed identity, is authenticated by the IdP, which issues a short-lived OAuth 2.0 access token or JWT. The gateway, acting as the Policy Enforcement Point (PEP), validates this token for every API call, enforcing context-aware authorization before permitting traffic to backend services, thereby applying the principle of least privilege access.

ZERO-TRUST API GATEWAYS

Frequently Asked Questions

Single Sign-On (SSO) is a critical authentication component within a zero-trust security model, enabling streamlined user access while maintaining strict, continuous verification. These FAQs address how SSO integrates with and is secured by modern API gateways.

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-entering credentials at each one. It works by establishing a trusted relationship between a central Identity Provider (IdP) and multiple Service Providers (SPs) or applications. Upon initial login, the IdP authenticates the user and issues a cryptographically signed security token (like a SAML assertion or OpenID Connect ID Token). This token is presented to subsequent applications, which trust the IdP's validation, thereby granting access without a separate login prompt. This centralizes authentication logic and credential management.

Prasad Kumkar

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.