The environment of the federal cloud suppliers is characterized by the fact that the security compliance should be established constantly instead of being documented periodically. Systems like NIST Secure Software Development Framework (SSDF) and federal patch and update requirements establish strict requirements, but the existing assurance practice is characterized by manual collection of evidence, use of hardcopy documentation, and ex post audit. These strategies cause delays, inconsistencies, and gaps in operational reality and artifacts of authorization. In this work, the Rules-as-Code Assurance Model (RACAM) is presented, and it transforms SSDF practices and patch management requirements into machine-readable policies. The policies are directly implemented in cloud engineering and CI/CD pipelines to be strictly implemented automatically. RACAM allows to ensure the security through continuous and verifiable compliance by making compliance controls executable in the form of rules. The RACAM is intertwined with the processes of CI/CD to verify the infrastructure, software updates, and configuration states continuously and automatically create verifiable authorization evidence. A comparative analysis is a structured evaluation of RACAM and Governance as Evidence for AI Pipelines (GEAP) and Continuous Standard Compliance Verification Framework (CSCVF). Experimental findings prove that RACAM enhances compliance detection accuracy, decreases the time to produce evidence, improves evidence freshness, and boosts regulatory traceability and minimizes the manual audit effort significantly. The results show that the encoding of the federal security controls into executable rules provides a proactive, quantifiable, and scale-able assurance model in line with the current Develops practices.
Shuaib Ahmed (Wed,) studied this question.