12 docs tagged with "Governance"

Require human approval for risky AI actions: Build 3-step workflows with automated escalation, Slack notifications, and audit trails.

Control what AI agents can do: Enforce policies, verify permissions, require approvals for high-risk operations before execution.

Define allowed AI agent behaviors: Specify permitted actions, data access patterns, API calls, and interaction boundaries per agent.

Pass AI audits with confidence: Auto-generate compliance reports for EU AI Act, NIST AI RMF, and ISO 42001 with cryptographic proof.

How does OpenBox governance work? Understand trust scores, runtime decisions, and the 5-stage lifecycle for controlling AI agents.

Handle OpenBox errors gracefully: Manage policy violations, trust failures, and network issues with retry logic and fallback patterns.

See how governance decisions happen in real-time: Policy checks, risk assessment, and automated enforcement before agent execution.

Set hard limits for AI agents: Prevent prohibited actions, enforce safety boundaries, block violations at runtime - not after the fact.

What is OpenBox? Runtime governance platform for AI agents. Enforce policies, verify actions, ensure compliance - before execution, not after.

Build AI governance policies that actually enforce: Define rules once, apply to all agents, block violations before execution.

How OpenBox governs AI agents: The 5-stage trust lifecycle from identity verification to adaptive policies with runtime enforcement.

What are trust tiers? Learn the 4-level system from restricted to autonomous and how tier changes affect agent permissions.