Model governance is the lifecycle control of models through inventory, ownership, approval, validation, versioning, monitoring, change management, limitations and retirement.
Why it matters
Why institutions need the concept.
Modern AI governance needs to extend model controls across providers, prompts, retrieval, tools and agents without losing version-level accountability.
Turn terminology into institutional operating control.
Cybatar connects AI inventory, policy, accountable decisions, evidence, assurance and economics so governance can operate continuously rather than live in disconnected documents.
