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Policies

Policies are the rules Trust3 evaluates against every agent in your inventory. They define what "governed" means for your organization — required ownership, approved models, data scope, and compliance framework requirements.

Policy types

Trust3 organizes policies into two types:

Type What it governs
Data Access Which data resources an agent is allowed to access, and under what conditions
Compliance Framework-specific requirements: field completeness, documentation, approval records

Framework scope

Policies are organized by compliance framework. The Policies page shows policies for your active framework, selected in Settings → General → Framework.

Switch the active framework to see the corresponding policy pack. Available frameworks:

  • NERC CIP / Utility
  • EU AI Act
  • FERC
  • Internal AI Governance

Out-of-box policy library

Trust3 ships with policies pre-configured for each framework. For NERC CIP / Utility, the default active policies include:

Policy Standard What it checks
BES Cyber System Categorization CIP-002 Agent assets are classified by BES impact level
Personnel & Training CIP-004 Agent owners have appropriate access authorization
System Security Management CIP-007 Agents meet system security configuration requirements
Information Protection CIP-011 Agents handling BES Cyber System Information meet documentation requirements
Supply Chain Risk Management CIP-013 Third-party model and platform dependencies are documented

Each policy in the sidebar shows a gap count — the number of assets currently failing that policy's rules.

Creating a policy

From the Policies page, click + New Policy. Choose one of two paths:

Import from document or URL

Upload a compliance PDF or paste a URL. GIA reads the document and proposes enforceable policy rules mapped to Trust3's rule schema. You review each proposed rule, adjust if needed, and activate. No manual rule-building required.

Best for: moving from a written regulatory requirement or internal AI policy document to an enforced rule. See GIA — Import policies from documents.

Create a Trust3 AI asset policy

Define a policy manually. Specify which AI assets are affected, the purpose, data scope, approved platforms, and conditions. All policies are subject to review before activation.

Best for: custom rules specific to your organization that don't map to an existing framework document.

Violation lifecycle

When a policy rule fails against an agent:

  1. A violation is recorded with severity, the affected agent, the rule that failed, and suggested remediation
  2. The agent's Trust Score drops — see Trust Score
  3. The violation appears in the agent's detail panel under the Policies tab
  4. When the underlying issue is fixed and the agent is re-evaluated, the violation closes and the Trust Score recovers

Violations can be waived with an approver and reason recorded, for cases where the risk is accepted rather than remediated.

Who can create policies

Role Can view Can create
Admin
Compliance
Legal
Developer ✓ (read only)