Data Leakage Detection

Data leakage poses a significant threat to organizations, exposing sensitive information to unauthorized parties and potentially resulting in severe consequences. Detecting and preventing data leakage is paramount for safeguarding organizational assets and maintaining trust with stakeholders. This paper provides a comprehensive review of techniques and approaches for data leakage detection, focusing on both traditional methods and recent advancements in the field. We examine the various types of data leakage, including intentional and unintentional breaches, and discuss the challenges associated with detecting such incidents. Furthermore, we explore the role of machine learning, encryption, and anomaly detection in mitigating data leakage risks. By synthesizing existing research and identifying areas for future investigation, this review aims to contribute to the development of effective strategies for detecting and mitigating data leakage threats.