Open Source AI Governance

Enterprise AI
Governance & Compliance

Centralized oversight of AI systems, agents, and API usage. Track risk, compliance, shadow AI, and costs across your organization.

15+ AI Models Tracked
6 Risk Dimensions
3 Discovery Methods
4 Approval Stages

Everything you need to govern AI

From shadow AI discovery to executive dashboards, UrNammu covers the full governance lifecycle.

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AI System Registry

Maintain a centralized inventory of every AI system in your organization, with ownership, risk level, and approval status tracking.

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AI Agent Registry

Track autonomous agents with autonomy levels, human-in-the-loop requirements, and capability inventories.

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Risk Center

Multi-dimensional risk scoring across bias, security, privacy, fairness, performance, and transparency with interactive heat maps.

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Shadow AI Discovery

Detect unregistered AI tools via Google Workspace scans, DNS/proxy log imports, and manual reporting. Auto-triage and block.

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Compliance & Policy

Define governance policies, map them to AI systems, track compliance status, and maintain a full audit trail.

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AI Oversight

Monitor API usage, model drift, and costs across providers. Real-time telemetry with anomaly detection and alerts.

Built on modern foundations

Enterprise-grade stack with security, performance, and developer experience in mind.

Next.js 16 + React 19

App Router with server components, Turbopack, and edge-ready deployment on Vercel.

PostgreSQL + Prisma

Type-safe database access with full migration support. 15+ data models for governance tracking.

Provider-Agnostic AI

Supports both Anthropic Claude and OpenAI GPT for risk classification and compliance gap analysis.

Enterprise Auth

Google OAuth, Microsoft 365, and local accounts. Role-based access control with Admin, Compliance Officer, and Viewer roles.

Ready to govern your AI systems?

Get started with UrNammu in minutes. Open source, self-hosted, enterprise-ready.