Enhancing Cloud Security with AI: A Deep Learning Approach to Identify and Prevent Cyberattacks in Multi-Tenant Environments

Indeed, cloud computing has become a vital technology for businesses and the individuals who rely on computing resources. Yet the security challenges inherent in a multi-tenant cloud environment come from its shared nature, including data breaches, insider threats, and advanced persistent threats. The traditional security mechanisms fail to adapt to the evolving cyber threats, and thus, the solution has to be the AI-driven ones. Real-time threat detection, anomaly detection, and proactive mitigation strategy are made through the use of deep learning techniques to strengthen cloud security. This paper assesses the use of AI and deep learning in multi-tenant cloud security by reviewing the use of AI security, as well as discussing traditional vs. AI-driven security and how performance metrics should be used to measure the results of an AI-based security system. Then, issues and constitutive research avenues in AI-driven cloud security are discussed.