LEVERAGING AI AND AUTOMATION TO STREAMLINE COMPLIANCE IN SAAS AND IAAS ENVIRONMENT

Abstract

The rapid growth of cloud computing, particularly through Software as a Service (SaaS) and Infrastructure as a Service (IaaS) models, has introduced significant challenges in managing regulatory compliance. Traditional methods of compliance management, reliant on manual processes, are often inefficient and error-prone, particularly in dynamic cloud environments. This paper explores the integration of Artificial Intelligence (AI) and automation tools to streamline compliance in these environments. Through the implementation of AI-driven models and automated remediation systems, we found a 40% improvement in compliance monitoring accuracy and a 60% reduction in remediation time. Additionally, automation led to a 45% reduction in overall compliance costs, while audit readiness improved by 35%. These findings demonstrate the potential of AI and automation to significantly enhance the efficiency, scalability, and cost-effectiveness of compliance management in cloud platforms. The paper also outlines a framework for organizations looking to leverage these technologies, offering a practical approach to modernizing compliance efforts and adapting to evolving regulatory requirements.