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.
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.
Thanh-Binh Trinh, N. Le, H. Nguyen· Software quality journal· 0 citations
Verifying building compliance requires validating thousands of rules against large Building Information Modeling (BIM) designs, which is laborious, capital-intensive, and unscalable. Existing Automated Compliance Checkers (ACCs) are often difficult to generalize across different scenarios, as they are typically develop...
Chiraag Singh Anand, Xue Wen Tan, L. Teo et al.· arXiv.org· 0 citations
A multi-agent GenAI architecture is introduced to support the automation of ethical cloud security, solving the problem of scalability or adaptability, and compliance in dynamic cloud environments. This framework combines dedicated generative agents such as policy analysts, threat detectors, remediation organizers, and...
Laxminarayana Thirupathi, Sharanya Gattu, T. Wable et al.· 2026 International Conferenc...· 0 citations
Environmental, Social, and Governance (ESG) compliance has shifted from voluntary best practice to enforceable legal obligation across major global jurisdictions. Frameworks such as the European Union's Corporate Sustainability Reporting Directive (CSRD), the Sustainable Finance Disclosure Regulation (SFDR), the United...
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
This document investigates a futuristic programmatic governance way of handling compliance issues by combining Policy-as-Code (PaC) and Machine Learning (ML), indicating faster response time, shrinkage of compliance gaps, and notable cost savings as compared to the traditional governance models.
Sivadeep Katangoori, Diganto Ghosh· International Journal of AI,...· 0 citations
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