Define
Describe your rules
Describe a rule in plain language, then review the proposal before enabling it.
Set the rules for AI actions.
One authority layer for the agents you choose, with decisions you can trace and explain.
The control loop
From policy to action.
Write your rules, check actions and data, and keep the decision record.
Enforce
Control actions as they run
Policy determines what an action may do. Hosted code stays within enforced limits on access and changes.
Protect
Control data sharing
Apply data checks before configured calls to models, tools and services. Use built-in detectors or your own filters.
Prove
See the decision record
Review requests, policy decisions and recorded results together.
Agent connections
Use hosted coding or connect your agents.
Use Atellagent Code with GitHub, or connect your agents through the desktop app or Atellagent Client. Enforcement coverage depends on the integration.
Atellagent Code
Work on GitHub repositories with enforced limits on what hosted code can access or change.
See Atellagent CodeConnect your agents
Bring your existing agents under policy control through the desktop app or Atellagent Client.
Check supported integrationsEnterprise MCP
Protect MCP servers you operate. Authenticate direct callers with your server and apply central policy before their tools execute.
Protect your MCP serversStart with work your team already does.
Code changes
Review repository changes
Require approval or limit the repositories a connected coding workflow can change.
Outbound research
Check research before sharing
Check research output before it leaves a configured channel or tool.
Operations
Review sensitive operations
Keep a record of governed operations and the policies that allowed or blocked them.
Policy rollout
Observe before you enforce
Observe decisions first, then enable enforcement on supported paths.