Enhancing the Future: Leveraging Machine Learning for Advanced Threat Detection and Test Automation in Cloud Environments

Abstract

As cloud computing continues to dominate the IT landscape, ensuring security and reliability within cloud environments has become increasingly critical. This paper explores the role of machine learning (ML) in enhancing advanced threat detection and test automation within cloud environments. By integrating ML algorithms into cloud security and test automation frameworks, organizations can proactively identify and mitigate potential threats, optimize testing processes, and ensure robust security postures. This paper delves into the methodologies, benefits, challenges, and future prospects of leveraging ML for these purposes, supported by case studies and industry applications.