AI-driven data governance: Automating policy enforcement in the cloud

Angamuthu, Muruganantham (2025) AI-driven data governance: Automating policy enforcement in the cloud. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1946-1952. ISSN 2582-8266

This article examines the emergence of AI-driven data governance as a transformative approach for enterprises adopting cloud-native Business Intelligence and data engineering architectures. As organizations navigate the complexities of multi-cloud and hybrid environments, traditional governance models prove insufficient for managing the scale, velocity, and variety of modern enterprise data. Artificial intelligence and machine learning technologies enable automated policy enforcement, enhance compliance monitoring, and strengthen security protocols in real-time. Implementation strategies across various industries demonstrate how AI-driven governance frameworks can integrate with existing cloud infrastructure while maintaining alignment with regulatory requirements such as GDPR, CCPA, HIPAA, and SOC 2. The insights provided contribute to the evolving discourse on intelligent data governance and offer actionable guidance for organizations seeking to modernize their governance practices in increasingly complex data ecosystems.