Aembit decides whether an agent may reach a resource. aizome decides whether what it is doing with that access is still its job.
aizome is the Enterprise AI Agent Control Platform. It sits as a single secured exchange between every AI agent your workforce deploys and every enterprise system those agents access, governing identity, enforcing intent, and making every agent accountable from day one.
Aembit is a workload identity and access management platform extended to AI agents. Its blended identity model evaluates the human user and the agent’s workload identity in a single policy decision, and its MCP Identity Gateway proxies agent traffic so the agent never holds a credential, exchanging tokens and injecting per-user credentials at runtime.
With Aembit, the agent is verified, the user authenticates through your identity provider, policy checks both, and the credential never reaches the agent. It answers one question well: may this user, with this agent, reach this resource?
That question is settled before the agent does anything. Once access is granted, everything it permits is permitted. An agent redirected by a document it read, or drifting from the task it was given, is still inside a decision that was made correctly.
aizome answers the next question. Every action is checked against the purpose the agent was given, as it runs.
 (Aembit) |  | |
|---|---|---|
| Enforcement | Inline proxy for MCP traffic, plus Edge proxies for workloads | The inline path itself, between every agent and every system |
| Agent Discovery | Not offered. Agents are registered and configured | Every agent connecting to an enterprise system: local, SaaS, containerized, MCP |
| Identity | Blended identity. Agent attested cryptographically, bound to the user through your IdP | The target system sees a named employee, through your IdP |
| Entitlement | Policy decides what the blended identity may reach | Evaluates the access behind the tool before the call executes |
| Intent | Not offered. Policies evaluate identity, resource, time, geo, and risk | Every action checked against declared purpose before execution |
| Cost | Outside the model | Per-session token limits, cost drift detection |
| Human in the loop | Not documented for agent flows | Approval required before destructive actions execute |
| EU AI Act | Access logging supports SOC 2, HIPAA, PCI controls | Articles 9, 12, 13, 14, 26 |
Agents hold no credentials of their own. Each action is bound to a named employee through the identity provider you already run.
Every action is compared with the purpose the agent declared, before it executes.
aizome evaluates what a tool can reach in the system it connects to, not only whether the agent may call it.
Thirty minutes, your environment. We will show you the agents nobody registered.
