The Role of AI and Machine Learning in Enhancing Cloud Security

Sundeep Reddy Mamidi ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 3, issue 1, 403-417

Abstract: Cloud computing has transformed how organizations store, process, and manage data, offering unparalleled flexibility and scalability. However, the rise in cyber threats presents significant challenges to maintaining robust cloud security. This chapter explores the crucial role that Artificial Intelligence (AI) and Machine Learning (ML) play in enhancing cloud security. By leveraging AI and ML capabilities, organizations can proactively detect, mitigate, and respond to evolving cyber threats, ultimately strengthening their cloud infrastructure. AI-driven techniques enable security systems to recognize patterns, anomalies, and potential threats within vast datasets. ML algorithms, learning from historical attack data, can predict future threats and develop more effective defense mechanisms. Furthermore, AI-enhanced authentication and access control mechanisms bolster identity management, reducing the risk of unauthorized access and data breaches.

Keywords: AI-driven Cloud Security; Machine Learning in Cyber security; Proactive Threat Detection; AI-enhanced Identity Management (search for similar items in EconPapers)
Date: 2024
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