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IBM watsonx.governance

See your AI, control your AI, trust your AI.

As AI spreads across an organisation, the question shifts from whether it works to whether it can be trusted, and whether the organisation can demonstrate that trust to regulators, auditors, and the business itself. IBM watsonx.governance provides the enterprise AI assurance layer that makes this possible: visibility across the entire AI estate, policy enforcement, risk integration, and continuous audit-ready compliance across hybrid and multi-vendor environments. This is not just about managing AI risk in isolation. It connects AI governance to the broader enterprise risk and compliance framework. So accountability for AI sits where accountability for everything else does.

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See everything your AI is doing

You cannot govern what you cannot see. watsonx.governance maps the entire AI estate through a Governance Graph, a living, connected picture of AI assets, policies, risks, and regulatory requirements, showing what AI is in use, for what purpose, under what controls, and whether those controls are working. This visibility extends across platforms and production environments, including third-party and multi-vendor AI.

Find out more on the IBM website: IBM watsonx.governance >

Governance that keeps pace with your AI

Visibility without control is just observation. watsonx.governance translates policies into enforceable controls, automating control mapping and compliance applicability so governance keeps pace with AI deployment rather than trailing behind it. Risk signals, breaches, and corrective actions flow back continuously, closing the loop between governance intent and operational reality. Works directly with watsonx Orchestrate to govern agents as they are deployed and scaled.

Compliance without the manual overhead

watsonx.governance connects to one of the largest regulatory ecosystems available – over 200 compliance frameworks – automating obligation mapping, evidence collection, and audit-ready reporting. For regulated industries where AI compliance is a board-level concern, this reduces the cost and complexity of demonstrating that AI is operating within the boundaries the business and its regulators require.

AI risk, connected to enterprise risk

Most AI governance tools treat AI risk in isolation. watsonx.governance integrates AI risk with IT, operational, third-party, and business continuity risk, giving organisations a unified view of exposure rather than a separate AI risk register that sits outside the enterprise risk framework. The data underpinning that risk picture needs to be trusted: watsonx.data intelligence provides the data quality and lineage that makes risk assessment reliable.

watsonx.governance in action

Dot Group deploys watsonx.governance for organisations that are scaling AI and need to demonstrate control – to their board, their regulators, or both. We implement the visibility, policy, and compliance capabilities in a way that connects to the enterprise risk framework rather than creating a parallel governance structure.

See how AI governance fits into our Activate AI approach >