Sign up now, upgrade anytime. Use Aembit to manage access for AI agents, workloads, and sensitive services on-prem, in the cloud, and SaaS.
You can try out Aembit and use it for your smaller projects for free. Did we mention getting started is easy?
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Perfect for an individual team running a set of services in production. Scales to meet your needs.
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Set the foundation for Workload Identity and Access Management throughout your organization.
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You can try out Aembit for your Agentic AI projects for free.
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Perfect for an individual team running a set of agents in production.
Includes:
Scale IAM for Agentic AI Access in development, QA, and production.
Includes:
Aembit customer
With Aembit, I finally have a single point for access control and visibility for workloads, along with a consistent implementation of strong security, all transparent to my developers.
FAQ
Of course! We offer a free Aembit plan for up to 10 workloads or 3 AI agents, 10 access policies or 5 MCP authorization policies, 24-hour event log data retention, and community support. If you’d like to add more than agents, workloads, or access policies, or get access to additional support, please contact us to discuss pricing.
When you exceed the free plan’s usage limit, we’ll automatically upgrade you to a free trial of the Enterprise plan. No payment information is required. If you’re ready to scale or get access to more support, please contact us to discuss pricing.
A client workload is any program or application that requests access from other applications or services. Examples of workloads include custom applications, custom or commercial AI agents, one-off or batch jobs, database management systems, and publicly accessible third-party APIs.
An AI agent is a desktop client like Claude Desktop App, a cloud-based AI app like Claude web, or a custom autonomous agent running in your environment. The identity of this agent can be established in many ways, including using a redirect URL such as https://claude.ai/api/mcp/auth_callback.
A Blended Identity is the combination of user context, from your third-party identity provider (IdP) and client context such as AI agent name, redirect URI, and more. The Blended Identity is used to provide granular MCP and tool access.
Access policies specify the conditions under which a client workload should be permitted to access a server workload such as a SaaS API.
Authorization service policies specify the conditions under which an AI agent should be permitted to access AI API services, MCP gateways, and/or MCP servers.
Yes. For the highest level of control, they are used together for both control and data plane enforcement. However, the MCP Authorization Service can be used alone when the enterprise is hosting the MCP server. The use of each component depends on the deployment of the MCP server and functionality required.
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