International Journal of Scientific Research and Engineering Development

Traditional manual auditing methods are becoming less effective against sophisticated configuration drift and automated exploitation as cloud-native infrastructures continue to grow at an exponential rate. In order to safeguard Amazon Web Services (AWS) settings, this paper introduces the Automated Cloud Security Posture Management (CSPM) Framework, a full-stack auditing solution that uses real-time API orchestration to dynamically discover and visualize infrastructure vulnerabilities. High-risk configuration indicators, like excessively privileged Identity and Access Management (IAM) roles, unencrypted data volumes, and unauthorized public storage exposure, are constantly monitored by the system. When it is detected, an event-driven protocol is automatically triggered, logging metadata into a persistent Supabase backend and providing the administrator with a high-fidelity React-based dashboard for prompt risk assessment. The organization's production environment is kept safe and compliant thanks to this centralized redirection of cloud metadata, which eliminates the latency that comes with manual console navigation. The suggested method uses RESTful API middleware and Python-based Boto3 integration to carry out noninvasive heuristic scanning without interfering with actual service availability or changing underlying cloud workloads. API-driven automated governance can successfully replicate real-time defensive posture management while maintaining infrastructure integrity and minimizing the window of vulnerability, according to experimental evaluation. The findings confirm that a scalable academic and enterprise-grade prototype of a modular, full-stack CSPM architecture is feasible for upholding proactive security standards in dynamic cloud-native environments.

Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"Cloud Security Posture Monitoring Tool" International Journal of Scientific Research and Engineering Development, V9(2): Page(2172-2179) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.