Evidence-Backed Security Audit for Business-Critical Code

Modern code security programs need more than alert volume. They need findings that can be reviewed, challenged, assigned, fixed, accepted, or used in a release decision.

CodeHunter is built around an evidence model: source, transit, sink, failed control, business impact, and decision state. A promoted finding should show where the risk starts, how it moves through the project, what sensitive operation it reaches, which control failed, and why the result matters.

The audit output

An evidence-backed audit produces a decision-ready record instead of a loose alert.

• Confirmed findings move into reports, remediation planning, or Team closure.
• Highly likely findings remain visible without being overstated.
• Needs-more-evidence findings preserve signal while marking the missing proof.
• Rejected or excluded candidates keep noise out of delivery artifacts.

Where this model matters

The model is most useful for risks that pattern-based scanners struggle to explain: owner boundaries, tenant scope, state transitions, payment flows, automation scope, device identity, and control-plane operations.

Personal and Team

Personal turns a local codebase into a reviewed audit report and scoped fix package. Team carries the same evidence into owner triage, remediation tasks, verification evidence, accepted risk, and release readiness.