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Checkpoint

Policy enforcement for AI

Define guardrails, enforce policies in real-time, and maintain complete audit trails. Keep your AI deployments secure and compliant.

Enterprise-grade governance

Policy Management Settings

Policy Management

Create, version, and deploy policies that govern how AI interacts with your systems and data.

Code Terminal

Rule Builder

Visual rule builder with code generation for complex policy logic. No coding required.

Lightning Bolt

Runtime Enforcement

Millisecond policy evaluation ensures every AI action is compliant before execution.

Warning Triangle

Risk Levels

Categorize actions by risk level with automatic escalation and approval workflows.

Clipboard with Checklist

Audit & Approvals

Complete audit trails with approval workflows for sensitive operations and compliance reporting.

How Checkpoint works

1

Define guardrails

Create policies that define what your AI can and cannot do. Set rules for data access, system interactions, and content generation based on your security requirements.

2

Enforce in runtime

Every AI request is evaluated against your policies in real-time. Actions are allowed, modified, or blocked based on your rules before any execution occurs.

3

Review & improve

Monitor policy effectiveness with detailed analytics. Review audit logs, identify patterns, and continuously refine your policies based on real-world usage.

Frequently asked questions