Aembit

What it does

Aembit is an identity and access management platform that controls how AI agents and other non-human workloads reach enterprise resources. Teams define access policies; Aembit verifies an agent or workload identity, evaluates each request against policy and runtime context, and obtains or issues short-lived, scoped credentials when access is approved. For agents acting for employees, blended identity combines user and agent context, while audit logs attribute access to the relevant identity.

The platform can authorize MCP-client access to MCP servers and enterprise resources, filter individual tools, apply conditional rules using signals such as security posture, geography, and time, and revoke an agent’s access. It also supports workload identity and credential access for services and CI/CD. Aembit is aimed at security, identity, platform engineering, DevOps, and application teams. Getting started involves creating a tenant, deploying required edge components or the MCP gateway for the selected use case, then defining policies. Documentation describes cloud-managed configuration alongside deployed edge components; this is not a standalone agent app.

What it can do

• Verify agent and workload identities and enforce per-request access policies
• Issue or broker short-lived, scoped credentials at runtime
• Combine user and agent context using blended identity
• Authorize MCP client access and filter MCP tools
• Apply conditional access using runtime context such as security posture, geography, or time
• Audit access events and revoke agent access

Works with

• MCP
• Kubernetes
• GitHub Actions
• GitLab
• AWS Lambda

Before you choose

• Aembit is an access control platform, not an AI agent or model; deployment and policy configuration are part of setup.
• Starter limits differ by use case: 3 AI agents or 10 workloads, with separate policy limits and 24-hour event-log retention.
• Teams pricing is per agent or per workload per month, not per user seat; the listed plans start with 10 agents or workloads.

Listed under

• Security
• Access control
• AI agents
• AI agent security
• Developers
• Enterprise security
• Identity

Get started

1. Create an Aembit tenant using the free Starter option.
2. Choose the agent, workload, or MCP use case and deploy the required Aembit Edge components or MCP gateway.
3. Define access policies for client workloads, resources, credentials, and applicable agent or user context.

Agentic AI and Workloads have separate plans. Free Agentic Starter permits three agents, five policies and 24-hour logs. Free Workload Starter permits ten workloads, ten policies and 24-hour logs. Agentic Teams is $20/agent/month starting with ten agents, up to 500, with seven-day logs. Workload Teams is $20/workload/month starting with ten, up to 50, with 24-hour logs. Enterprise has custom terms.

Source: aembit.io/pricing, checked 1 Nov 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

• Aembit | Identity Control Plane for AI Agents ↗aembit.io
• Aembit Docs | DOCS ↗docs.aembit.io
• Pricing for Non-Human IAM - Aembit ↗aembit.io
• About Our Mission and Team - Aembit ↗aembit.io
• Aembit | Identity Control Plane for AI Agents ↗aembit.io

Company website

aembit.io: product, pricing and policy pages

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Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.