CHALLENGES AND OPPORTUNITIES: INTEGRATING AI AND ML INTO CLOUD SECURITY OPERATIONS

Keywords: Cloud Security, Artificial Intelligence, Machine Learning, Data Security, Operations

Authors

Keywords: Cloud Security, Artificial Intelligence, Machine Learning, Data Security, Operations Author

Abstract

Because cloud computing offers flexibility and scalability, it has completely changed how businesses store, process, and manage data. However, sustaining strong cloud security presents substantial hurdles due to the increase in cyberattacks. This paper explores the critical roles that machine learning (ML) and artificial intelligence (AI) play in improving cloud security. It also looks at the potential and problems that the area of cloud security operation faces. Organizations may strengthen their cloud infrastructure by proactively detecting, mitigating, and responding to growing cyber threats by leveraging the capabilities of AI and ML. Security systems can now identify trends, abnormalities, and possible risks in large datasets thanks to AI-driven methodologies. By using past attack data, machine learning algorithms can anticipate new threats and create defenses that are more potent. Additionally, identity management is strengthened by AI-enhanced authentication and access control systems, which lower the danger of illegal access and data breaches.