A Literature Survey on Data Leaks in Cloud Environments

Data leaks in cloud computing have become a major security threat, exposing sensitive data to all kinds of unwanted access. The big question, of course, is: How does this happen? Leaks can occur because of Misconfigurations, Insider threats, Insecure APIs, Malicious attacks. These aren't just theoretical problems. They have caused severe and sometimes irreversible damage to many organizations. As more and more companies turn to the cloud, traditional security methods that operate in real time and use well-defined system boundaries are having a tougher time protecting anything at all. This article examines the many causes and effects of data leaks in cloud systems, focusing on important vulnerabilities and risk factors. Furthermore, it examines cutting-edge detection strategies, such as machine learning-based anomaly detection, cryptography algorithms, and deep learning architectures meant to detect unauthorized data access. This study seeks to provide a complete understanding of data leak detection and prevention tactics by examining existing research and real-world case studies, which will help to design stronger cloud security frameworks.