Dynamic Data Masking and Tokenization Techniques for Secure Database Management

Abstract

In the era of growing data breaches and stringent regulatory requirements, securing sensitive data has become a critical concern for organizations. This paper explores dynamic data masking and tokenization techniques as key strategies for secure database management. We provide an in-depth analysis of these techniques, their implementation challenges, and their effectiveness in protecting sensitive information. The paper also presents a comparative evaluation of these methods and discusses their integration into a comprehensive data security strategy.