AI-Driven Security Posture Management: A Revolutionary Approach to Multi-Cloud Enterprise Security

Srinivas Reddy Cheruku

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 1, 497-509

Abstract: The landscape of cloud security has undergone a transformative evolution, driven by the complexity of modern digital infrastructures and the escalating sophistication of cyber threats. This comprehensive article explores an innovative AI-driven Cloud Security Posture Management (CSPM) framework that transcends traditional security methodologies. By leveraging advanced machine learning algorithms, neural network architectures, and intelligent automation, the framework offers a proactive, adaptive approach to cybersecurity that addresses the multifaceted challenges of multi-cloud environments. The article demonstrates how intelligent systems can dynamically analyze network interactions, predict potential vulnerabilities, and implement rapid, context-aware response mechanisms, fundamentally reshaping how organizations conceptualize and implement security strategies.

Keywords: AI-Driven Cloud Security; Multi-Cloud Threat Management; Intelligent Security Posture; Predictive Cybersecurity; Machine Learning Threat Detection (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111237
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v11:y2025:i1:id:704

DOI: 10.32628/CSEIT25111237

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