A. THARUN KUMAR, CH. RAKESH, K. SHIVAJI, K. RAJITH, M.SHARADHA

Abstract

This paper explores the transformative impact of Artificial intelligence on data privacy and security. It first begins by introducing the basic concepts and the significance of data privacy and security, followed by a discussion about traditional methodologies and their associated shortcomings. Moving forward, the center point of this discourse revolves around how AI with its automation and anomaly identification capabilities is transforming this field. Using definitions, case studies, and in-depth analysis, the paper describes the different aspects of predictive analytics, natural language processing, machine learning, as prevalent facets of AI applications on strengthening protection mechanisms for data. Subsequently, the paper presents practical examples of real-world applications in banking and health care to give an insight on how AI can be integrated into the security system, along with lessons learnt fromsuchincorporation.Abriefexaminationoftheethicalconcerns,wheredes