Jenkins in Modern DevSecOps Pipelines: Architecture, Security Integration, and Best Practices

The software industry's transition to agile delivery methods and cloud-native architectures has made CI/CD pipelines a strategic organizational asset. Jenkins, first released in 2011 as a fork of Hudson, has grown to become the most widely deployed CI/CD automation server globally, with over 300,000 active installations reported by the Jenkins community [1]. The rise of DevSecOps — the practice of integrating security controls directly into CI/CD pipelines rather than appending them as a post-development gate — has fundamentally changed how CI/CD tools must be designed, deployed, and operated. Jenkins, with its plugin-driven extensibility and pipeline-as-code model, is both an enabler and a potential risk in DevSecOps implementations. High-profile software supply chain attacks — SolarWinds (2020), Codecov (2021), and the Log4Shell exploitation wave — demonstrated that CI/CD infrastructure itself represents a high-value attack target. A compromised Jenkins controller with broad credential access and production deployment permissions can function as a lateral movement platform enabling attackers to inject malicious code into software artifacts delivered to thousands of downstream users. This paper addresses the following research questions: · How should Jenkins be architecturally designed to support DevSecOps at scale while minimizing attack surface? · What are the critical security hardening controls for Jenkins in enterprise environments? · How can Jenkins pipelines integrate supply chain integrity controls (SBOM, image signing, SAST/DAST)? · How does Jenkins compare to modern CI/CD alternatives in terms of security posture and operational maturity?

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-03
DOI
https://doi.org/10.5281/zenodo.15134817
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Jenkins in Modern DevSecOps Pipelines: Architecture, Security Integration, and Best Practices

Zenodo (CERN European Organization for Nuclear Research)
Security and Verification in Computing
article

Jenkins in Modern DevSecOps Pipelines: Architecture, Security Integration, and Best Practices

article en

Abstract

The software industry's transition to agile delivery methods and cloud-native architectures has made CI/CD pipelines a strategic organizational asset. Jenkins, first released in 2011 as a fork of Hudson, has grown to become the most widely deployed CI/CD automation server globally, with over 300,000 active installations reported by the Jenkins community [1]. The rise of DevSecOps — the practice of integrating security controls directly into CI/CD pipelines rather than appending them as a post-development gate — has fundamentally changed how CI/CD tools must be designed, deployed, and operated. Jenkins, with its plugin-driven extensibility and pipeline-as-code model, is both an enabler and a potential risk in DevSecOps implementations. High-profile software supply chain attacks — SolarWinds (2020), Codecov (2021), and the Log4Shell exploitation wave — demonstrated that CI/CD infrastructure itself represents a high-value attack target. A compromised Jenkins controller with broad credential access and production deployment permissions can function as a lateral movement platform enabling attackers to inject malicious code into software artifacts delivered to thousands of downstream users. This paper addresses the following research questions: · How should Jenkins be architecturally designed to support DevSecOps at scale while minimizing attack surface? · What are the critical security hardening controls for Jenkins in enterprise environments? · How can Jenkins pipelines integrate supply chain integrity controls (SBOM, image signing, SAST/DAST)? · How does Jenkins compare to modern CI/CD alternatives in terms of security posture and operational maturity?

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 76%
Security and Verification in Computing
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