Dynamic Security Policies for Cloud Infrastructures: An AI-Based Framework

Abstract

The rapid expansion of cloud computing has introduced significant challenges in maintaining robust security policies due to the dynamic and scalable nature of cloud environments. This research presents an AI-based framework for developing and implementing dynamic security policies in cloud infrastructures. The proposed framework leverages machine learning algorithms to analyze and predict potential security threats, enabling the real-time adaptation of security measures. By continuously monitoring cloud resources and utilizing intelligent threat detection mechanisms, the framework ensures a proactive approach to cloud security. Case studies demonstrate the effectiveness of the AI-driven framework in enhancing the security posture of cloud infrastructures, reducing vulnerabilities, and minimizing the risk of data breaches. The results indicate that the integration of AI in cloud security policy management offers substantial improvements in response times and threat mitigation capabilities.