Developer Converts CMMC and NIST 800-171 Compliance Rules Into AI-Ready JSON

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A developer built a Python pipeline that converts two major federal compliance frameworks — CMMC Level 1 and NIST SP 800-171 Rev 2 — from dense regulatory text into structured, machine-readable JSON rules. The pipeline pulls official source data, normalizes it into a SQLite schema, and attaches agent-guidance instructions designed to work directly as AI coding agent guardrails. The resulting dataset covers 125 controls across both frameworks and can also be integrated into CI/CD pipelines or GRC platforms. A key challenge during development was inconsistent data from NIST's export formats, including a silent bug caused by differing CVSS v2 and v3 JSON structures. The project aims to replace slow, manual compliance reviews with automated, AI-assisted checks for defense contractors and government-adjacent organizations.

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