Scale personalized B2B agentic experiences

Most teams spend months building custom security controls before they can ship. AI Identity for B2B allows you to offload that entire phase. By using our pre-built identity infrastructure, you can bypass the DIY security bottleneck and move from prototype to production in a fraction of the time.

Human identity verifies who a user is, while agent identity establishes what an AI agent is, which user or organization it acts for, and what actions it is authorized to take. Unlike humans, autonomous AI agents operate at machine speed across multiple APIs, services, and MCP servers without an active user session. As a result, agents require distinct non-human identities (Agents as Principal) with dedicated credentials, fine-grained delegated permissions, execution boundaries, and separate audit logs.

• Human Identity: Answers "Who are you?" and governs personal authentication and session access.
• Agent Identity: Answers "What are you, who do you represent, and what are you permitted to execute?"

Yes. Scaling AI isn’t just about compute; it’s about managing a massive web of human-to-agent and agent-to-agent interactions. AI Identity for B2B provides a centralized identity plane that manages these connections at scale, helping ensure that as your workflows become more complex, your security posture remains consistent and automated.

Building a secure production-ready environment requires manual RBAC implementation, penetration testing, regulatory compliance reviews, and data governance, a process that can cost upwards of $200k in engineering time. Offloading to Auth0 helps ensure that sensitive third-party keys do not touch your code or logs, while automated rotation and MFA protect you from credential leakage, allowing you to ship with confidence.

With our Agent as Principal launches, AI Identity for B2B provides dedicated Machine-to-Machine (M2M) identities for your agents at scale. This helps ensure every agent has a strictly scoped identity, making it easy to track which agent or human did what, even in fully autonomous loops. You get a clear audit trail and can revoke an individual agent’s access without taking down your entire workflow.

One major risk is an agent retrieving data that the user shouldn't see. AI Identity for B2B integrates Fine-Grained Authorization (FGA) directly into your RAG pipeline. By checking permissions at the moment of retrieval, we help ensure your LLM only sees and processes documents that the specific authenticated user is authorized to access. This helps prevent prompt-injection-based data leaks and helps ensure your proprietary data stays siloed.

The FGA Permissions Index handles the immense scale of enterprise RAG workflows by shifting the high computational cost of authorization from query time to write time. Instead of forcing the AI to wait on real-time graph traversal API calls for every single document snippet it searches, the system pre-calculates the possible permissions into direct 1:1 relationships whenever a permission changes.

AI Identity for B2B’s Token Vault solution acts like a secure proxy. Your agent doesn’t actually hold the root key; instead, it asks Token Vault for a temporary, short-lived access token only when it needs to perform a specific task. By keeping access tokens short-lived, Token Vault drastically reduces the attack surface a stolen credential exposes.

AI Identity for B2B allows you to build safety checkpoints into your AI’s workflow. When an agent reaches a high-stakes task, it pauses and sends a real-time approve-or-deny notification to the user’s mobile device. This allows your agent to run 24/7 in the background, giving you the peace of mind that a human has the final kill switch for sensitive actions.

The Auth for MCP offering relieves developers of the need to implement the authorization parts of the MCP spec from scratch. OAuth 2.1 and OIDC are inherently built into the Auth0 platform, providing frictionless sign-in capabilities, standards-based discovery and client registration, resource-scoped tokens, permission downscoping through token exchange, and fine-grained authorization. When an MCP server is protected by Auth0, MCP clients and agents alike need a properly scoped access token to call the server.

AI Identity for B2B helps secure your LangChain app through user authentication (log in before interacting), a Token Vault (helps securely manage tokens for tools like Google or Slack), fine-grained RAG authorization (agents only retrieve documents the user can access), and human-in-the-loop approvals (pause for user consent before critical tool calls). To get the exact LangChain setup code tailored to your framework, connect your IDE to the Agentic SaaS Docs MCP Server.