Cloud Security Posture Management System for Detecting Misconfigurations in AWS Environments

Abstract

Cloud computing has become an essential component of modern IT infrastructure, but it also introduces significant security challenges, particularly due to misconfigurations in cloud environments. These misconfigurations often lead to data breaches, unauthorized access, and compliance violations. This paper presents a Cloud Security Posture Management (CSPM) system designed to identify and mitigate security risks in Amazon Web Services (AWS) environments. The proposed system utilizes automated data collection techniques through AWS APIs to analyze configuration settings and detect vulnerabilities based on predefined security rules. The system further classifies risks and generates detailed reports with actionable recommendations. The implementation focuses on improving visibility, ensuring compliance, and reducing human error in cloud security management. Experimental results demonstrate that the system effectively identifies critical misconfigurations and enhances the overall security posture. This approach provides a scalable and efficient solution for securing cloud infrastructures in real-world applications.