ReATest is introduced, an automated approach to enhancing PaC workflows through systematic test case generation from Rego specifications, which achieves an average 35.43% reduction in test suite size and retains 64.57% of the generated test cases.
The study concludes that an AI-agent paired with Security-as-Code is a promising avenue for proactive NIS2 compliance, and future work on extending this approach to other standards and automated remediation is outlined.
I. Opirskyy, O. Vakhula, P. Vorobets et al.· CSDP· 0 citations
User experience (UX) evaluation is central to software quality, yet it remains difficult to integrate into software engineering workflows in a systematic, explainable, and early-stage manner. This paper presents TraceUX, a framework for operationalizing UX heuristics and design guidance into a rule-based static evaluat...
Empirically evaluates a reusable multi-stage Policy-as-Code enforcement model based on a shared policy-definition layer implemented using the Open Policy Agent framework and its Rego policy language and demonstrates that a shared policy-definition layer can support consistent policy enforcement across complementary enf...
L. Nogueira, Alice Resende· De Computis· 0 citations
Deployed large language model (LLM) agents are now being used to interface with external tools, fetch information, run code, interact with user data and help with decision making at the workflow level. Therefore, their safety issues are not only related to the underlying model, but also to tool permissions, prompt desi...
Aakash Abhay Yadav, Shashank Shelat, B. Hinduja et al.· International Conference on...· 0 citations
The article represents a Proof of Concept (PoC) for policy-as-code methodology designed to detect “Privilege Sprawl” in GitLab CI/CD environments and showed how teams can reduce their organisational exposure by 73% and get back into compliance with Least Privilege.
PolicyGuide compiles each domain policy into a workflow graph and invokes a proactive verifier at user-turn boundaries and finds the lowest observed attack-success rate under adversarial users and the strongest procedural compliance in an author-designed workflow-level validation.
Seongjae Kang, Taehyung Yu, Sung Ju Hwang· 2 citations
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