IBM watsonx.governance is IBM's toolkit for governing AI across its lifecycle — managing model risk, documenting lineage, monitoring for drift and bias, and enforcing policy and approval controls. It provides the audit trails and oversight that regulated organizations need to deploy AI responsibly.
Model inventories and factsheets, pre-deployment evaluation, ongoing monitoring, bias and drift detection, and policy and approval workflows — the evidence and controls auditors and risk teams expect.
We build watsonx.governance into agentic workflows from day one, so governance is a property of the system rather than a step bolted on before launch.
The policies, controls, and processes that keep AI systems safe, compliant, transparent, and accountable across their lifecycle.
Read definition →ArchitectureThe operating layer to deploy, monitor, secure, and govern an entire fleet of AI agents from one place — managing the agentic estate at scale.
Read definition →IBM watsonxIBM's platform for building, deploying, and orchestrating AI agents that automate work across enterprise applications, with governance.
Read definition →GovernanceA design pattern where a person reviews, approves, or can override an AI system's decisions at defined, high-stakes points.
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