SECURING MULTI-CLOUD ENVIRONMENTS WITH AI AND MACHINE LEARNING TECHNIQUES

Abstract

This paper explores the security challenges faced in multi-cloud environments and how machine learning (ML) can be used to address them. Multi-cloud environments offer businesses flexibility and scalability, but also introduce complexities in securing data and applications. The paper discusses the challenges of distributed data, identity and access management, interoperability, and compliance. It then explores how multi-cloud security strategies can be implemented to mitigate these risks. Finally, the paper examines the role of machine learning in enhancing multi-cloud security by providing anomaly detection, intrusion prevention, and data encryption.

Keywords: Multi-cloud security, Machine learning (ML), Artificial intelligence (AI), Distributed data security, Identity and access management (IAM)