AI-driven data governance for multi-cloud environments

Shaik, Khadarvali (2025) AI-driven data governance for multi-cloud environments. International Journal of Science and Research Archive, 15 (2). pp. 773-788. ISSN 2582-8185

This document investigates how Artificial Intelligence (AI) helps reinforce data governance across multiple cloud settings. Organizational adoption of multi-cloud platforms leads to mounting difficulties for proper data management across various platforms. AI technology provides innovative solutions that help organizations solve issues about data-scattering compliance risks and security vulnerabilities. The research investigated data governance optimization through AI automation using a combination of case studies with industry experts' data analytics and systematic interviews. The study demonstrates that AI technology enhances data classifications, enables better access control management and monitoring functions, and covers regulatory compliance demands. AI implementation grants organizations reduced personnel requirements in governance work while improving data protection and real-time segmentation between cloud platforms. System management through essential staffing and complex integration requirements constitute the primary hurdles for AI systems in cloud platforms. Organizations need to solve particular challenges for their AI-based multi-cloud data governance systems to reach full benefits that enable both intelligent and scalable data management.