Advanced Techniques for Data Loss Prevention and Access Control in Big Data Cloud Infrastructures

Abstract

As the volume of data generated by businesses continues to grow, the challenges associated with safeguarding data within cloud infrastructures have become more complex. This paper explores advanced techniques for data loss prevention and access control in Big Data cloud infrastructures. With a focus on mitigating risks, it examines cutting-edge technologies such as AI-driven data monitoring, encryption, and secure authentication protocols. The integration of automation, predictive analytics, and multi-cloud strategies is also analyzed for their ability to enhance security and performance. By exploring these innovative approaches, the paper seeks to provide actionable insights for improving data protection and access control in modern cloud architectures.