Runtime AI governance is the observation and enforcement of AI policies, permissions, moderation, evidence and escalation while AI systems are actually operating.
Why it matters
Why institutions need the concept.
A system can be compliant at approval and still create new risk after deployment because models, prompts, tools, data, users and suppliers change.
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.
