← Governance

ZENTINELLE

Policy-Based

Define rules once. Enforce them everywhere. Override when you need to.

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AI governance shouldn’t mean AI prohibition.

POLICY ENGINE

Your security team says no. Your engineering team says they need it. The result? Shadow AI that nobody controls.

18+ policy types. Inheritance from org to user. Real-time enforcement. Full audit trail.

Policy types you can define:

Every policy cascades through the inheritance chain.

  • Rate Limits — Requests per minute, hour, day. Per user, team, or org.
  • Budget Caps — Monthly spend limits with alerts and hard stops.
  • Model Restrictions — Allowlist or blocklist specific models. GPT-4 for analysts, Claude for engineers.
  • Tool Permissions — Which agents can access which APIs, databases, filesystems.
  • Content Filters — Block PII, toxicity, prompt injection attempts.
  • Data Access Controls — Row-level, column-level, database-level restrictions.

How It Works

01

Inheritance Model

Set org-wide defaults. Let teams tighten or (with permission) loosen. Grant specific users elevated access. The most specific policy wins.

Inheritance Model
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02

Real-Time Evaluation

Real-Time Evaluation
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03

Policy Versioning

Every policy change is versioned. See who changed what, when. Roll back if needed.

Policy Versioning
(screenshot)