Accelerate trusted AI at scale with real-time assurance, visibility and control
Overview
Accelerate ROI with smarter AI governance, risk and compliance
See AI. Control AI. Realize AI value.
As AI systems expand across organizations, they need visibility, accountability and continuous oversight to manage risk and scale AI effectively. IBM watsonx.governance delivers an enterprise AI assurance layer - combining AI-native governance with enterprise-grade Governance, Risk and Compliance (GRC) across hybrid, multi-vendor environments.
- Connect AI assets, risks and policies to map relationships and dependencies.
- Integrate AI risk with IT, operational and third-party risk domains.
- Translate policies into controls and enforce them through AI control planes.
- Embed governance into existing systems across hybrid environments without lock-in.
Recognized by leading analysts in AI governance, risk, and compliance
Features
Power up with enterprise AI assurance at scale
- Visibility
- Control
- Accountability
You cannot govern what you cannot see
Get a complete, real-time view of all AI systems and assets across your enterprise, so you can govern them effectively. Build a unified, version-aware inventory of AI assets, including shadow AI and connect them through a governance graph that captures rich relationships across enterprise GRC context, forming the foundation to assess risk exposure, dependencies and ownership gaps.
Visibility without control is informed exposure
Go beyond risk assessment to govern AI across your ecosystem. Integrate AI-specific risks with enterprise risk domains including operational, IT and third-party risk and map regulatory obligations. Ensure AI systems follow defined policies by applying controls and guardrails in production, detecting violations early and triggering remediation actions to maintain continuous compliance, while reducing manual effort, cost and operational friction.
Governance without accountability does not deliver ROI
Ensure AI delivers measurable business outcomes. Align AI use cases to strategic objectives and define KPIs to measure success, so you can identify where to invest and ensure AI systems deliver measurable ROI and business value.
AI governance in action
Use cases
Put AI Governance to work
Regardless of where you intend to employ AI in your business, watsonx.governance supports multiple high-impact use cases across industries and functions.
Case studies
From governance to value. Real results.
Infosys
Infosys leveraged watsonx.governance to achieve a 150% increase in operational efficiency, accelerating AI project velocity without compromising oversight with over 2,700 AI use cases across functions and geographies.
150%
increase in operational efficiency
Resources
X-Force Threat Intelligence Index 2026
2026 Buyer's Guide: an overview of AI governance and security priorities
AI for business: Maximize AI ROI through smarter governance
Scaling AI: How to streamline AI governance to improve ROI
Dive deeper
Pricing
Explore pricing
Pricing tiers
Explore IBM watsonx.governance purchasing options to manage, monitor and scale responsible, transparent AI across cloud and on‑prem environments.