Software Supply Chain Security for Infrastructure-as-Code Pipelines with Vulnerability Detection and Remediation

Abstract

Infrastructure-as-Code has changed cloud security from a deployment concern into a software supply chain problem, where a single insecure configuration can expose enterprise systems at scale. This article presents an intelligent security framework for IaC pipelines that moves beyond scanner-based alerting by combining vulnerability detection, risk-aware prioritization, automated patch generation, and remediation validation. The framework analyzes configuration misrules, dependency integrity, embedded secrets, compliance failures, and runtime drift to determine which findings require immediate action and which can be safely routed through controlled remediation. Results indicate that pipeline-aware intelligence improves detection accuracy, prioritization precision, patch acceptance, critical exposure reduction, and false-positive suppression while keeping remediation latency manageable across growing repository scale. The study shows that enterprise IaC security becomes more effective when vulnerability findings are converted into validated, auditable, and operationally safe infrastructure corrections.