Machine Learning Models in Safeguarding Against Data Breaches

Abstract

Cloud computing has become increasingly popular, drawing investments from organizations for internal use or as service providers. However, this growth has brought about various security challenges that impact industries and consumers. To address these issues, machine learning is being employed to enhance cloud security by identifying and mitigating attacks, as well as addressing vulnerabilities within cloud environments. Cloud computing, as a well-established and flexible platform, allows businesses and consumers to access IT services over the internet. It offers cost-effective solutions and remote service access, making it a preferred choice. However, with the expanding reliance on cloud computing, ensuring data security becomes a crucial responsibility for service providers. The involvement of third-party vendors introduces an additional layer of risk, posing challenges in maintaining data security due to factors like weak access controls, inadequate encryption measures, or vulnerabilities within the cloud infrastructure itself.