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An Evidence-driven Protocol for Trustworthy CI Pipelines

arXiv Security Archived May 21, 2026 ✓ Full text saved

arXiv:2605.21089v1 Announce Type: new Abstract: Enterprise software supply chains are increasingly vulnerable to infrastructure attacks, resulting in financial and reputational damage. Ensuring the integrity and provenance of software artifacts remains a significant challenge, where re-execution of the build and tests by every consumer to guarantee provenance produces a verification bottleneck and credibility reduction. This paper presents an evidence-driven protocol for trustworthy Continuous I

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    Computer Science > Cryptography and Security [Submitted on 20 May 2026] An Evidence-driven Protocol for Trustworthy CI Pipelines Fernando Castillo, Eduardo Brito, Pille Pullonen-Raudvere, Sebastian Werner, Stefan Tai Enterprise software supply chains are increasingly vulnerable to infrastructure attacks, resulting in financial and reputational damage. Ensuring the integrity and provenance of software artifacts remains a significant challenge, where re-execution of the build and tests by every consumer to guarantee provenance produces a verification bottleneck and credibility reduction. This paper presents an evidence-driven protocol for trustworthy Continuous Integration (CI) pipelines that combines Deterministic Build Systems (DBS) with Trusted Execution Environments (TEEs). The approach provides cryptographically verifiable guarantees of integrity, authenticity, and attestation for CI artifacts in distributed environments, reducing implicit trust without requiring costly re-execution by consumers. We introduce a protocol that binds deterministic builds with TEE-based attestations, formalizing the evidence life cycle, together with a practical implementation using Nix and Intel TDX. Experimental results show that artifact verification is reduced from redundant computation to lightweight signature and policy checks. These findings demonstrate that evidence-driven CI pipelines establish scalable and verifiable trust in digital infrastructure, effectively amortizing the initial computational overhead introduced by TEEs. Comments: To be published in International Conference on Enterprise Design, Operations, and Computing 2026 (EDOC 2026), 18 pages, 4 figures Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2605.21089 [cs.CR]   (or arXiv:2605.21089v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2605.21089 Focus to learn more Submission history From: Fernando Castillo [view email] [v1] Wed, 20 May 2026 12:22:20 UTC (1,172 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-05 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
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    ◬ AI & Machine Learning
    Published
    May 21, 2026
    Archived
    May 21, 2026
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