AI governance is the set of policies, controls, and accountability structures that determine how organizations build, deploy, and monitor AI systems responsibly. It spans regulatory compliance, internal model risk management, bias and safety testing, data lineage, and the audit trail that proves any of it happened. Techstrong.ai‘s AI Governance hub tracks the frameworks enterprises are adopting, the regulations reshaping the market, and the tools that make oversight practical rather than theoretical.