Explainable AI-Based DevSecOps Validation Across Distributed Enterprise Cloud Infrastructure Platforms

Authors

  • G N K Suresh Babu Professor, Department of CSE, Madha Engineering College, Chennai, India Author

Keywords:

Explainable Artificial Intelligence, DevSecOps, Distributed Cloud Infrastructure, Security Validation, Machine Learning, SHAP, LIME, Vulnerability Detection, Continuous Compliance, Cloud Security, CI/CD Pipelines, Automated Risk Assessment.

Abstract

The increasing adoption of distributed enterprise cloud infrastructure has introduced complex security challenges associated with application development, deployment automation, infrastructure configuration, and continuous integration and continuous delivery (CI/CD) pipelines. Traditional DevSecOps validation approaches often depend on predefined security rules, static analysis, and automated vulnerability scanning, which may struggle to identify sophisticated threats and explain the reasoning behind detected security violations. This research proposes an Explainable Artificial Intelligence (XAI)-based DevSecOps validation framework designed to improve security assessment, policy enforcement, and operational transparency across distributed enterprise cloud platforms. The proposed framework integrates machine learning, explainable prediction techniques, automated vulnerability assessment, infrastructure configuration analysis, and continuous compliance monitoring. Explainability techniques such as SHAP and LIME are incorporated to identify important security indicators and provide interpretable explanations for vulnerability classifications and risk predictions. The framework evaluates application code, container images, cloud configurations, access policies, deployment pipelines, and runtime security events. Furthermore, automated validation mechanisms prioritize security findings according to severity, exploitability, and operational impact. The proposed architecture aims to strengthen security decision-making, reduce false-positive alerts, improve compliance visibility, and support trustworthy automation throughout enterprise DevSecOps workflows. This approach establishes an intelligent and transparent foundation for proactive cybersecurity governance across heterogeneous and multi-cloud infrastructure environments.

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Published

2025-11-18

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