Inferensys

Glossary

JSON Web Token (JWT)

A JSON Web Token (JWT) is a compact, URL-safe token format defined by RFC 7519, used to securely transmit claims between parties as a JSON object, which can be digitally signed or encrypted.
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AUTHENTICATION STANDARD

What is JSON Web Token (JWT)?

A JSON Web Token is a compact, URL-safe token format defined by RFC 7519, used to securely transmit claims between parties as a JSON object, which can be digitally signed or encrypted.

A JSON Web Token (JWT) is a compact, URL-safe token format defined by RFC 7519, used to securely transmit claims between parties as a JSON object. It is a foundational standard for API authentication and authorization in zero-trust architectures, enabling stateless, verifiable identity assertions. A JWT consists of three Base64Url-encoded segments separated by dots: a Header specifying the signing algorithm, a Payload containing the claims, and a Signature used for verification.

In a zero-trust API gateway, the JWT serves as the primary bearer token for context-aware authorization. The gateway's Policy Enforcement Point (PEP) validates the token's signature and expiration, then extracts claims (like user roles or scopes) to make access decisions. This mechanism is integral to OAuth 2.0 and OpenID Connect (OIDC) flows, providing a standardized way for AI agents and services to authenticate without sharing credentials, ensuring secure tool calling and API execution.

RFC 7519 STANDARD

Key Features of JWT

A JSON Web Token is a compact, URL-safe token format defined by RFC 7519, used to securely transmit claims between parties as a JSON object, which can be digitally signed or encrypted.

01

Compact & URL-Safe Format

A JWT is a compact, self-contained string consisting of three Base64Url-encoded segments separated by dots (.): Header.Payload.Signature. This structure makes it ideal for transmission in HTTP headers (like Authorization: Bearer <token>) or URL query parameters, as it avoids characters that have special meaning in URLs.

  • Compactness: Encodes a complete set of claims in a small footprint.
  • URL-Safety: Uses Base64Url encoding, which replaces + and / with - and _ and omits padding = where possible.
02

Self-Contained Claims

The JWT Payload contains a set of claims—statements about an entity (typically the user) and additional metadata. These claims are encoded as a JSON object, allowing the token itself to carry the necessary authentication or authorization data. This reduces the need for the recipient to query a database or authorization server for each request.

  • Registered Claims: Predefined, standard claims like iss (issuer), exp (expiration time), sub (subject).
  • Public Claims: Custom claims defined in the IANA JSON Web Token Registry or as URIs.
  • Private Claims: Custom claims agreed upon by parties to share information.
03

Digital Signatures (JWS)

A JSON Web Signature (JWS) provides integrity and authenticity for a JWT. The token is signed using a cryptographic algorithm specified in the header (e.g., HS256 for HMAC SHA-256, RS256 for RSA SHA-256). The signature ensures the token has not been tampered with and verifies the identity of the issuer.

  • Signature Creation: The signing input is the encoded header and payload, concatenated with a dot.
  • Signature Verification: The recipient recalculates the signature using the same algorithm and secret/key. A mismatch indicates tampering.
  • Common Algorithms: HS256 (symmetric), RS256/ES256 (asymmetric).
04

Encryption (JWE)

A JSON Web Encryption (JWE) provides confidentiality for a JWT's contents. While a signed JWT's payload is Base64Url-encoded but readable, an encrypted JWE's payload is ciphertext, protecting sensitive claims from being read by unauthorized parties. JWEs use cryptographic algorithms to encrypt the payload and optionally the encryption key.

  • Encryption Process: The payload is encrypted, and the resulting ciphertext is included in the token structure.
  • Key Management: Supports various key encryption algorithms like RSA-OAEP or direct encryption with a shared secret.
  • Combined Use: A JWT can be signed then encrypted (nested JWT) for both integrity and confidentiality.
05

Stateless Authentication

JWTs enable stateless authentication for APIs. Because the token is self-contained and verifiable via its signature, the API server does not need to maintain a server-side session store. The server validates the signature and checks the claims (like exp) on each request. This architecture is highly scalable for distributed systems and microservices.

  • Scalability: No shared session state required across servers.
  • Performance: Eliminates database lookups for session validation on each request.
  • Trade-off: Token revocation before expiration requires implementing a token blocklist or using short-lived tokens with refresh tokens.
06

Standardized & Interoperable

JWTs are defined by a suite of IETF standards, ensuring broad interoperability across different programming languages, frameworks, and platforms. Libraries for creating, parsing, signing, and verifying JWTs are available for virtually all modern tech stacks.

  • Core Standards: RFC 7519 (JWT), RFC 7515 (JWS), RFC 7516 (JWE).
  • Wide Adoption: Native support in API gateways, identity providers (like Auth0, Okta), and cloud platforms (AWS, Azure).
  • OAuth 2.0 & OpenID Connect: The standard bearer token format for OAuth 2.0 access tokens and the core artifact for OpenID Connect ID Tokens.
ZERO-TRUST API GATEWAYS

How JSON Web Tokens (JWT) Work

A technical breakdown of the JWT format, its cryptographic foundations, and its critical role in zero-trust API security for authenticating AI agents and machine-to-machine communication.

A JSON Web Token (JWT) is a compact, URL-safe token format defined by RFC 7519, used to securely transmit claims—such as identity and authorization data—between parties as a JSON object. It consists of three Base64Url-encoded segments: a Header specifying the signing algorithm, a Payload containing the claims, and a Signature that cryptographically verifies the token's integrity. For zero-trust API gateways, a JWT serves as a verifiable credential presented by an AI agent or client, allowing the gateway's Policy Enforcement Point (PEP) to authenticate the request without maintaining session state.

The security of a JWT hinges on its signature, created using a secret or a public/private key pair, which ensures the token has not been altered. Common algorithms include HMAC (symmetric) and RSA or ECDSA (asymmetric). In a zero-trust context, the gateway validates the signature and inspects the payload for claims like issuer (iss), subject (sub), and expiration (exp). This enables context-aware authorization decisions, ensuring the AI agent possesses the least privilege access required for a specific API call, a fundamental principle for securing autonomous tool execution.

JWT

Frequently Asked Questions

A JSON Web Token is a compact, URL-safe token format defined by RFC 7519, used to securely transmit claims between parties as a JSON object, which can be digitally signed or encrypted.

A JSON Web Token is a compact, URL-safe token format defined by RFC 7519, used to securely transmit claims between parties as a JSON object, which can be digitally signed or encrypted. It works by encoding a set of claims in a JSON structure that is then cryptographically signed or encrypted to form a token. The token consists of three Base64Url-encoded parts separated by dots: a Header (specifying the token type and signing algorithm), a Payload (containing the claims), and a Signature (created by signing the encoded header and payload with a secret or private key). A recipient can verify the token's integrity and authenticity by validating the signature, ensuring the claims have not been tampered with and were issued by a trusted authority. JWTs are stateless, meaning the server does not need to store session data, making them a popular choice for API authentication and authorization in distributed systems.

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.