AI-Driven Solutions for Proactive Cloud Security: A Study of Threat Detection and Prevention

Abstract

In order to protect sensitive data and maintain business continuity, it is necessary to implement comprehensive security measures, especially because the attack surface for cyber attacks has grown due to the increasing reliance on cloud computing. use AI to improve cloud security by proactively detecting and preventing threats. Machine learning algorithms, behavioral analytics, and predictive analytics are all examples of AI-driven solutions that can help firms spot new security risks, investigate suspicious activity, and react instantly to occurrences. This research looks at the state of the art in artificial intelligence (AI) techniques and technologies for keeping tabs on cloud environments and stopping security breaches. Better accuracy, less human error, and the capacity to handle large-scale cloud infrastructures are some of the benefits that are emphasized when AI is integrated into cloud security frameworks. This article provides an overview of AI-driven cloud security methods, explains how to use them, and uses case studies and analysis to show how AI can help organizations be proactive about cloud security and stop threats before they do any damage.