This guide walks you through creating a Policy to govern how your Agents operate.
For background on how Policies govern Agent behavior, see AI Agents.
From the left sidebar, navigate to the Agent Fleet application.
Switch to the Policies tab.
Click Create in the top-right corner to open the Create New Policy form.
Start by filling in the policy’s identity.
Choose what should happen when this policy matches.
When multiple policies apply to the same action, Deny takes precedence over Allow, and Require Approval can be used to gate sensitive actions. Design your policies so the combination of effects matches your security requirements.
Define when this policy applies by adding one or more conditions. Each condition has a Type that determines what the policy is scoped to:
You can add multiple conditions. When a policy has more than one condition, they are combined with Any of (OR) logic — the policy matches if any condition is satisfied.

Once all fields are configured, click Create in the top-right corner. Your new policy will appear in the Policies list.
Below are two example policies that illustrate common patterns.
This policy allows a set of platform tools to run without requiring approval. It uses an Allow effect with multiple MCP Tool conditions combined with OR logic, so any of the listed tools will be automatically approved.
Violet / get_related_issues, MCP Tool: Violet / modify_issue_severity
This policy gates a powerful tool behind human approval. Any time an Agent attempts to use this tool, execution pauses until a user explicitly approves it.
Violet / netcat_client
With Agents and Policies in place, your AI workflows are governed and auditable. Revisit the AI Agents platform page to learn more about how Agents and Policies work together.