security-audit-rlm

A local security audit can scan large .NET repositories without loading all source files into the model context. It uses iterative indexing and targeted pattern searches to produce structured markdown and JSON findings.

A privacy-preserving RLM workflow analyzes legacy .NET codebases locally using bounded tool access. It searches targeted code patterns instead of ingesting the full context, generating markdown reports and JSON metadata.

You can identify risks by running a local workflow that uses read_file, list_manifest, and search_pattern tools. This approach surfaces risky patterns, secrets, and configuration issues with precise file and line evidence.

Yes, the local audit workflow outputs a markdown audit report, a JSON metadata file, and a JSONL manifest. These structured outputs allow you to integrate security findings directly into existing development workflows.

Yes, this local audit approach specifically scales for large enterprise repositories by avoiding full-context model access. It performs iterative indexing and targeted scans to find vulnerabilities while maintaining privacy.

This local audit approach relies on targeted search_pattern and read_file tools, meaning it scans iteratively rather than analyzing the full context. It is designed for bounded tool access to maintain strict privacy requirements.