Governance

AI Governance

Control approved models, model allowlists, role-based access, department boundaries, tool permissions, agent approval workflows, human review, prompt records, and integration permissions. Designed to support organizational governance requirements.

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Problems Addressed

  • Shadow AI usage
  • Unauthorized data exposure
  • Unsupervised agent actions

Business Outcomes

  • Strict control over model usage
  • Audit-ready activity logs
  • Human-in-the-loop workflows

Core Capabilities

Model Allowlists

Restrict usage to vetted and approved AI models.

Agent Approval Workflows

Require human review for sensitive agent actions.

Audit Records

Maintain comprehensive logs of prompts and activity.

Architecture Layers

Policy EngineAuditIdentity

Deployment Modes

Private CloudHybrid

Security Considerations

  • Non-repudiation
  • Data retention policies