IBM watsonx.governance accelerates responsible, transparent and explainable AI workflows, governing both generative AI (Gen AI) and machine learning (ML) models on one integrated platform. It provides model governance from anywhere and deploys where it makes the most sense, either on cloud or on-premises.

AI needs governance to direct manage and monitor both Gen AI and ML models. Gen AI is driving many new use cases, but it is also brings new risks and complexities for the business. watsonx.governance provides organizations with the toolkit they need to govern both Gen AI and ML models in 3 key areas:

Lifecycle governance – automate and scale model governance, provide stakeholder visibility with customizable dashboards and reports while capturing model metadata with factsheets for effortless report generation.

Risk management – monitor for fairness, bias, drift and new LLM metrics, proactively detect and mitigate risks based on pre-set thresholds.

Compliance – manage compliance with the growing and changing AI regulations and industry standards.

• Evaluate and monitor across the AI lifecycle for model health, accuracy, drift, bias and Gen AI quality metrics.

• Access powerful governance, risk and compliance capabilities featuring workflows with approvals, customizable dashboards, risk scorecards and reports.

• Use the factsheets capability to automatically collect and document model metadata across the AI lifecycle.