Journal of Advances in Developmental Research
E-ISSN: 0976-4844
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Impact Factor: 9.71
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 17 Issue 1
2026
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Automated Vulnerability Management in DevSecOps Pipelines for SaaS Platforms: A Practical Framework for SAST, DAST, Dependency Scanning, and Controlled Remediation
| Author(s) | Praveen Chaitanya Jakku, Lalith Chandra Bandaru, Mohammed Shakeer Bandrevu |
|---|---|
| Country | United States |
| Abstract | SaaS platforms are released, updated, and configured at a pace that traditional vulnerability management processes were not designed to support. Security findings that are discovered after deployment often move through separate dashboards, manual triage, ticket queues, and delayed sprint cycles before they are fixed. This delay creates unnecessary exposure, especially when the issue could have been detected earlier in the software delivery pipeline. DevSecOps addresses this problem by moving security checks closer to development and release workflows, but simply adding more scanners does not guarantee better security. Without aggregation, deduplication, prioritization, and clear remediation paths, scanning can increase noise rather than reduce risk. This article presents a practical framework for automated vulnerability management in DevSecOps pipelines for SaaS platforms. The framework combines static application security testing, dynamic application security testing, dependency scanning, secrets detection, infrastructure-as-code validation, and controlled remediation workflows. It emphasizes risk-based gating, developer-friendly feedback, safe automation, and auditable remediation. The goal is not to replace security engineers or developers, but to reduce avoidable delay, improve consistency, and ensure that repeatable security fixes are handled earlier and more reliably in the delivery lifecycle. |
| Keywords | DevSecOps, SaaS security, vulnerability management, SAST, DAST, dependency scanning, CI/CD, automated remediation, secure software development, software supply chain security. |
| Field | Engineering |
| Published In | Volume 15, Issue 1, January-June 2024 |
| Published On | 2024-04-05 |
| DOI | https://doi.org/10.71097/IJAIDR.v15.i1.1904 |
| Short DOI | https://doi.org/hb26st |
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IJAIDR DOI prefix is
10.71097/IJAIDR
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