AI-Powered Data Governance Frameworks: Enabling Compliance in Multi-Cloud Environments

Abstract

As organizations increasingly adopt multi-cloud environments to optimize their IT infrastructure and enhance flexibility, the need for robust data governance frameworks becomes critical. This paper explores the application of AI-powered data governance frameworks to enable compliance in multi-cloud environments. It investigates the challenges organizations face in managing data across disparate cloud platforms, such as data security, privacy regulations, and compliance requirements. The paper highlights how artificial intelligence (AI) technologies, including machine learning and natural language processing, can be leveraged to automate compliance processes, enhance data visibility, and ensure data sovereignty in complex multi-cloud ecosystems. By examining case studies and industry practices, this paper provides a comprehensive approach to implementing AI-driven governance models, which not only ensure regulatory adherence but also optimize data management practices. It concludes with recommendations for organizations seeking to establish AI-powered frameworks that enable effective governance and compliance across dynamic, multi-cloud infrastructures.