Securing Multi-Cloud Architectures: A Machine Learning Perspective

Sundeep Reddy Mamidi ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 2, issue 1, 233-247

Abstract: Multi-cloud computing, the utilization of multiple cloud computing services in a single heterogeneous architecture, has gained significant traction in recent years due to its potential for enhancing flexibility, resilience, and performance. This paper provides an overview of multi-cloud computing, exploring its key concepts, advantages, challenges, and best practices. It examines the motivations behind adopting multi-cloud strategies, the various deployment models, management approaches, and emerging trends. Additionally, the paper discusses the implications of multi-cloud computing for security, interoperability, and vendor lock-in. Through a comprehensive analysis, this paper aims to offer insights into the complexities and opportunities associated with multi-cloud environments.

Keywords: Cloud Security; AI-Based Security; Dynamic Security Policies; Machine Learning; Threat Detection (search for similar items in EconPapers)
Date: 2024
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