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Modern software development increasingly relies on Continuous Integration and Continuous Deployment (CI/CD) pipelines to accelerate innovation. These pipelines automate the integration of code changes, testing, and deployment, enabling developers to release software updates faster and more frequently than ever before. However, the speed of deployment often comes at the cost of exposing vulnerabilities within the software supply chain. Rapid code delivery, frequent use of third-party dependencies, and decentralized development environments introduce multiple attack vectors that can be exploited if not properly secured.
The growing sophistication of supply chain attacks—including dependency confusion, artifact tampering, and build process compromises—has highlighted the need for robust, verifiable security controls throughout the development lifecycle. Traditional security approaches often fall short in addressing these modern challenges, particularly in cloud-native environments where microservices, containers, and ephemeral infrastructure dominate.
The Supply-chain Levels for Software Artifacts (SLSA) framework offers a structured, incremental approach to securing build processes. By ensuring provenance, tamper resistance, hardened build environments, and reproducible builds, SLSA provides a comprehensive defense-in-depth strategy for CI/CD security. This paper provides an in-depth analysis of integrating SLSA compliance into CI/CD pipelines, discusses the tools and methodologies involved, and presents real-world case studies. It explores how SLSA can be systematically applied in both legacy and cloud-native environments to mitigate risk. By elaborating on both technical and organizational perspectives, this work aims to serve as a comprehensive reference for organizations striving to enhance software security and align with evolving compliance standards.
"Software Supply Chain Security: Implementing SLSA Compliance in CI/CD Pipelines", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a84-a94, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507011.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator