security-deep-dive

A codebase security audit identifies and quantifies vulnerabilities in your first-party source using an inventory-driven, six-step per-sink process that maps trust boundaries, validates findings, and cross-references prior art to distinguish real vulnerabilities from simple pattern matches.

An inventory-driven security audit works in two phases: Phase 1 maps sinks, trust boundaries, and risk across the repository, followed by Phase 2 per-sink analysis that validates findings, cross-references prior art, and assesses reach to determine real vulnerabilities versus pattern matches.

Yes, this security audit is specifically applicable to medium-to-large codebases where distinguishing real findings from pattern matches matters, producing deterministic reporting and machine-readable artefacts suitable for governance requirements.

You generate a machine-readable security risk report by running the audit workflow on your repository, which automatically produces a report.json and schema.json containing quantified findings, trust boundary mappings, and deterministic vulnerability data.

This code audit targets only your first-party source code, not its dependencies, focusing the inventory-driven per-sink analysis entirely on the repository's own code to identify and quantify security vulnerabilities.

The best way to distinguish real security findings from pattern matches is using a six-step per-sink methodology that implements trust boundaries, validation, prior-art cross-referencing, and reach assessment to produce deterministic reporting.