Model Governance

Model governance is the structured management of AI and machine learning models to ensure they operate reliably, ethically, and in compliance with internal policies and external regulations. It includes tracking model lineage, validating performance, managing approvals, monitoring for bias or drift, and enabling full auditability. Strong model governance helps reduce risk, support accountability, and maintain trust in model-driven decisions.