Innovative Approaches to Data Anonymization: Leveraging AI for Enhanced Privacy Protection in Sensitive Data Environments

Abstract

In today's data-centric environment, organizations face mounting challenges related to data governance, compliance, and ethical management of data. This paper explores the integration of Artificial Intelligence (AI) into data governance frameworks to enhance compliance, ensure data integrity, and address ethical considerations. By leveraging AI-driven solutions, organizations can create dynamic and adaptive governance structures that align with regulatory requirements and foster a culture of accountability. This research highlights the essential components of an AI-driven data governance framework, the challenges of implementation, and the potential for these frameworks to reshape data management practices.