PRODUCT OVERVIEW

IAM for Agentic AI

Create and enforce policies that control when AI agents can access MCP servers and the sensitive resources behind them, with complete visibility into every access attempt.

Key Capabilities for IAM for Agentic AI

Everything you need to govern AI agent access to MCP servers, from user authentication through to per-request credential exchange and audit logging.

Blended Identity

Combine an AI agent’s non-human identity with the identity of the human operating it. Define access policies based on this unique, cryptographically verifiable identity, so you always know who and what is making a request.

OAuth 2.1 Authorization

Implements the OAuth 2.1 authorization code flow as defined in the MCP specification. AI agents and MCP clients authenticate and receive access tokens governed by Aembit Access Policies, without any custom authorization code on your end.

Secure Token Exchange

AI agents never hold direct credentials for MCP servers or the enterprise systems behind them. Aembit mints, and exchanges credentials on the agent’s behalf at request time, credentials are never persisted or exposed to the agent.

Policy-Based JIT Access

Apply Aembit Access Policies to define which agents and users can reach which MCP servers. Layer in conditional access factors like time of day or geographic location for additional control.

Existing IdP Integration

Works alongside the human identity providers you already use, including Okta, Azure AD, and Google, through OIDC and SAML. No new identity infrastructure required.

Structured Audit Logs

Every MCP request is logged with agent identity, user identity, target server, and policy decision. Logs integrate with your SIEM so you have a complete, searchable access audit trail.

Agents Access Systems.
Not Credentials.

Your AI agents get the access they need to do their work without ever seeing the credentials that make that access possible. Aembit manages the keys; your agents just get results.

agents access systems

Complete Visibility
Into Agent Activity

Know exactly which agent, operating on behalf of which user, accessed which MCP server and when. Structured logs with attribution make incident response and access audit straightforward.

Visibility product screen

Policy Enforcement
That Scales

A single Aembit deployment can govern access from many agents and users to multiple MCP servers simultaneously, with each user's access isolated by their own credentials and governed through centralized policy.

policy enforcement

Deployment

Aembit’s IAM for Agentic AI is made up of two components that can be used together or independently depending on your needs.

Aembit MCP Authorization Service

  • Runs as a fully managed capability in Aembit Cloud. No additional agents or infrastructure to deploy or maintain on your end.
  • Integrates with OIDC and SAML identity providers through your existing Aembit tenant configuration to get user context which is then combined with agent context to provide a blended identity.
  • Can be used standalone to secure MCP workloads where human users are authenticating through an AI client like Claude Desktop or Gemini CLI.

Aembit MCP Identity Gateway

  • Deploys as a Linux virtual machine in your own environment, giving you control over network boundaries, data locality, and integration with existing infrastructure.
  • Containerized and fully managed deployment options coming soon.
  • Can be used standalone when credential isolation and per-request policy enforcement for AI agents are the primary requirements.

Using Both Together

The MCP Authorization Service handles user authentication and issues access tokens. The MCP Identity Gateway takes over for every subsequent MCP request, validating tokens, enforcing policy, and exchanging credentials in real time, forming a complete access control layer from user login through to MCP server response.

Ready to Try Aembit?

Get started in minutes, with no sales calls required. Our free- forever tier is just a click away.