OAuth 2.0 is an authorization framework defined by RFC 6749 that enables a third-party application to obtain limited access to a user's resources hosted by an HTTP service, such as an API. It achieves this by issuing access tokens to the client application, which act as scoped, short-lived credentials, eliminating the need for the user to share their primary username and password. The core innovation is the separation of the resource owner (user), the client (application), and the resource server (API), mediated by an authorization server.
Glossary
OAuth 2.0

What is OAuth 2.0?
OAuth 2.0 is the industry-standard protocol for delegated authorization, enabling secure, limited access to user resources without sharing passwords.
The framework defines several grant types—including Authorization Code, Client Credentials, and Resource Owner Password Credentials—to accommodate different client contexts like web apps, mobile apps, and machine-to-machine services. It is foundational for modern API security and secure credential management, enabling features like social login and delegated API access. Related protocols like OpenID Connect (OIDC) build upon OAuth 2.0 to add an identity layer for authentication.
Key Features of OAuth 2.0
OAuth 2.0 is an industry-standard protocol that enables secure, delegated access to HTTP-based services. It separates the role of the resource owner from the client application, allowing users to grant limited access to their data without sharing credentials.
Delegated Authorization
OAuth 2.0's core mechanism allows a resource owner (typically a user) to grant a client application limited access to their protected resources hosted by a resource server, without ever revealing their long-term credentials (like a password) to the client. This is achieved through an authorization grant, which the client exchanges for an access token. The token represents the scope and duration of the granted permissions, not the user's identity.
- Example: A user grants a photo printing app (client) permission to read their photos from Google Photos (resource server) but not to delete them or access their email.
Granular Scopes and Permissions
Access in OAuth 2.0 is controlled through scopes. During the authorization request, the client asks for one or more scopes, which are space-separated strings defined by the resource server (e.g., read:photos, write:contacts). The user consents to these specific permissions. The resulting access token is only valid for the granted scopes, enforcing the principle of least privilege.
- Implementation: The token is presented to the resource server's API, which validates the token and checks that its scopes permit the requested action (e.g., a
GET /photosrequest requires a token with theread:photosscope).
Multiple Authorization Grant Flows
OAuth 2.0 defines several grant types (or flows) tailored to different client capabilities and security requirements. The choice of flow depends on whether the client can securely store a secret and the context in which it runs.
- Authorization Code: For web server applications. The most secure flow, involving a server-side exchange of an authorization code for a token.
- Authorization Code with PKCE: Essential for mobile apps and single-page applications (SPAs). Adds a proof key to prevent code interception attacks.
- Client Credentials: For machine-to-machine (M2M) communication where a client needs to access its own resources, not a user's.
- Resource Owner Password Credentials: A legacy flow where the user gives their username/password directly to the client. Not recommended for third-party clients.
- Device Code: For input-constrained devices like smart TVs, where the user authorizes on a separate device.
Short-Lived Tokens and Refresh Mechanism
OAuth 2.0 promotes security through short-lived access tokens (often valid for minutes or hours). If an access token is compromised, its usefulness is limited. To maintain a session without requiring the user to re-authenticate constantly, the protocol provides refresh tokens. A refresh token is a long-lived credential issued alongside the access token, which the client can use to obtain a new access token when the old one expires.
- Security Benefit: This allows for periodic re-evaluation of the authorization grant and enables token revocation. Refresh tokens must be stored with the highest security, as they grant continued access.
Centralized Authorization Server
A critical component of the OAuth 2.0 architecture is the authorization server. This trusted entity is responsible for authenticating the resource owner, obtaining their consent, and issuing tokens to the client. It decouples authentication logic from the resource server.
- Key Functions: Presents the consent screen to the user, validates authorization grants, issues access/refresh tokens, and often provides a token introspection endpoint for resource servers to validate tokens.
- Separation of Concerns: The resource server trusts tokens signed or issued by the authorization server, allowing for scalable, centralized identity and access management.
Bearer Token Usage
OAuth 2.0 primarily uses Bearer Tokens (defined in RFC 6750). A bearer token is a cryptic string, such as a JWT or an opaque reference, that grants access to the bearer—whoever presents it. The client includes the token in the HTTP Authorization header when calling a protected API: Authorization: Bearer <token>.
- Security Implication: This model is simple but means anyone in possession of the token can use it. Therefore, securing the token in transit (via HTTPS/TLS) and at rest is paramount. More advanced token types, like Proof-of-Possession (PoP) tokens, are emerging to bind a token to a specific client, mitigating theft risks.
Frequently Asked Questions
OAuth 2.0 is the industry-standard protocol for delegated authorization, enabling applications to access user resources without handling passwords. These FAQs address its core mechanisms, security considerations, and role in AI agent architectures.
OAuth 2.0 is an authorization framework that enables a third-party application to obtain limited access to a user's resources on an HTTP service without exposing the user's credentials. It works by delegating user authentication to the service that hosts the user account (the resource owner) and authorizing the third-party application (the client) to access the account via an access token. The core flow involves the user granting permission, the client receiving an authorization grant, exchanging that grant for an access token from the authorization server, and then using that token to make requests to the resource server. This separates the roles of authentication and authorization, allowing for fine-grained, revocable access without password sharing.
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Talk to Us
Search across company data
Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.
Useful when people spend too long searching or get different answers from different systems.

Automate internal workflows
Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
Useful when repetitive work moves across multiple tools and teams.

Add AI to products and internal tools
Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
Related Terms
OAuth 2.0 operates within a broader ecosystem of security standards and infrastructure. These related concepts define the protocols, tokens, and systems that enable secure, delegated access for applications and autonomous agents.
OpenID Connect (OIDC)
OpenID Connect (OIDC) is an identity layer built on top of OAuth 2.0. While OAuth provides authorization (access to resources), OIDC provides authentication (verification of user identity). It standardizes how clients obtain basic profile information about the authenticated user.
- Core Component: The
id_token, a JSON Web Token (JWT) containing verifiable claims about the user's identity (e.g.,subfor subject,email). - Standardized Endpoints: Adds the
/userinfoendpoint to the OAuth flow to fetch standardized user attributes. - Use Case: Enables "Login with Google" or "Sign in with GitHub" functionality, providing both access and verified identity.
JSON Web Token (JWT)
A JSON Web Token (JWT) is a compact, URL-safe token format defined in RFC 7519, widely used as access tokens and id tokens in OAuth 2.0 and OpenID Connect flows.
- Structure: A JWT consists of three Base64Url-encoded parts separated by dots: Header.Payload.Signature.
- Self-Contained: The payload contains claims (statements about an entity), allowing resource servers to validate the token and its claims without a central database lookup.
- Signing: Typically signed using RS256 (RSA Signature with SHA-256) to ensure integrity. The signature is verified using the authorization server's public key.
Proof Key for Code Exchange (PKCE)
Proof Key for Code Exchange (PKCE, pronounced 'pixy') is a critical extension to the OAuth 2.0 Authorization Code flow, designed to secure public clients like mobile apps and single-page applications (SPAs).
- Mitigates Attack: Prevents authorization code interception attacks where a malicious app could steal a code.
- Mechanism: The client creates a cryptographically random
code_verifierand a derivedcode_challenge. It sends the challenge to get the code, and later must present the original verifier to exchange the code for a token. - Mandatory for Public Clients: Modern security best practices and standards like OAuth 2.1 require PKCE for all authorization code grants used by public clients.
Identity and Access Management (IAM)
Identity and Access Management (IAM) is the overarching framework of policies and technologies that ensures the right entities (users, services, machines) have appropriate access to resources. OAuth 2.0 is a key authorization protocol within an IAM strategy.
- Broader Scope: IAM encompasses user lifecycle management (provisioning, de-provisioning), authentication, authorization, auditing, and federation.
- Models: Implements access control models like Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) to define permissions.
- For Agents: In AI agent contexts, IAM systems must manage machine identities, issue OAuth client credentials, and enforce scopes that limit an agent's access to specific APIs and data.
Single Sign-On (SSO)
Single Sign-On (SSO) is an authentication scheme that allows a user to log in once and gain access to multiple, independent software systems without re-entering credentials. OAuth 2.0 and OpenID Connect are modern protocols enabling SSO.
- Federation: SSO is enabled by federated identity, where a trusted Identity Provider (IdP) (like Okta, Azure AD) authenticates the user and provides tokens to various Service Providers (SPs).
- Protocols: Can be implemented using SAML 2.0, OAuth 2.0, or OpenID Connect. Modern web and mobile apps heavily favor OAuth/OpenID Connect.
- User Experience: Eliminates password fatigue and centralizes authentication policy and multi-factor authentication (MFA) enforcement.
Client Credentials Grant
The Client Credentials Grant is one of the OAuth 2.0 grant types, designed for machine-to-machine (M2M) authentication where a specific user's context is not required. This is highly relevant for autonomous AI agents acting on their own behalf.
- Flow: The client application authenticates with the authorization server using its own credentials (
client_idandclient_secret) to request an access token directly. - No User Involvement: There is no authorization step by an end-user. The token's permissions are defined by the scopes associated with the client registration.
- Use Case: An AI agent backend service calling a proprietary internal API or a third-party service where the agent itself is the authorized entity, not a human user.

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.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
Review the use case
We understand the task, the users, and where AI can actually help.
Read more02
Pick the right approach
We define what needs search, automation, or product integration.
Read more03
Build the first useful version
We implement the part that proves the value first.
Read more04
Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us