AI-driven data governance is now indispensable for organizations to safeguard compliance and security as they accelerate AI adoption. Embedding intelligent, automated controls into every data lifecycle stage ensures regulatory compliance at scale to maintain data quality and secure sensitive information. Agentic AI leverages autonomous agents capable of reasoning, decision-making, and proactive problem-solving to ensure continuous monitoring and proactive enforcement of policies, reducing manual processes and legacy tools' limitations. By integrating agentic AI capabilities, organizations can automate routine governance tasks, deploy autonomous governance agents, integrate with existing data ecosystems, establish continuous monitoring and optimization, and tackle sector-specific challenges such as fraud prevention, HIPAA compliance, and PII protection. As the future of AI-driven data governance evolves, next-generation systems will embed policy checks directly into generative AI pipelines, anticipate risks, and adapt in real time to maintain essential human oversight and enterprise-wide consistency.