ISSN: 2265-6294

MITIGATING CLOUD VULNERABILITIES: A DATA-DRIVEN APPROACH WITH AI/ML, SIEM and DATA ENGINEERING

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Jaipal Reddy Padamati , Laxmi Sarat Chandra Nunnaguppala, Karthik Kumar Sayyaparaju

Abstract

This report focuses on discovering techniques to improve compliance in cloud computing with the help of data engineering, AI/ML, and SIEM. The paper explores the methods used in the emulation of cloud infrastructures in the identification of risks and enhancement of safety mechanisms. Through real-time cases, the report established the potency and applicability of these modern technologies in lawyerly compliance and protection of cloud structures. Numerical and graphical displays of the utilized models give quantitative results for visual analyses of identified trends. Moreover, the report looks into the difficulties encountered during implementation and examines potential solutions to the identified issues to create a safer and more compliant cloud computing environment.

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