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Policy and control

Policy

In shortYour organisation's AI rules, built in the console from a library of ready-made rules and frameworks.

Where it sits in EndLayer · step 5 of 7, policy

  1. 01Deploy
  2. 02Signals
  3. 03Inventory
  4. 04Context
  5. 05Policy
  6. 06Decision
  7. 07Evidence

What it means

A policy says which AI tools are sanctioned, which MCP servers are blocked, what may leave in a prompt and what an agent may do unattended. It is assembled from the rule library and mapped to frameworks.

Every publish creates a new policy version, and every device is graded against it.

Why it matters

A written policy that nothing checks is a hope. EndLayer grades every device against yours.

See it on endlayer.aiGovern →
EndLayer

Give AI room to work.And clear boundaries.

See the Guardian Agent Platform on your own fleet. Find every AI tool, understand what it reaches and costs, and apply the controls your team needs.

One connected layer of control
Devices · Cloud · ApplicationsSurface / Monitor / Govern