Model-driven audit
Run single-model composite review or multi-model cross-review across project profile, function inventory, generic risk, business risk, and finding review.
Code Hunter · AI code security audit platform
Code Hunter embeds single-model or multi-model AI review into a professional security workflow: understand the project, challenge risk paths, prove source-to-sink evidence, and convert confirmed risk into reports, fixes, tasks, or release gates.

Product value
Run single-model composite review or multi-model cross-review across project profile, function inventory, generic risk, business risk, and finding review.
Detect missing authorization, validation, tenant boundaries, business guards, and other logic risks that traditional code-error checks often miss.
Designed to reduce 60-70% of false-positive review workload by challenging weak findings against codebase context, reachability, control failure, and human decisions.
Every promoted issue keeps source, transit, sink, control failure, impact, confidence, and remediation direction together.
Editions
Personal
For independent developers, consultants, and security leads who need project understanding, logic-flaw review, auditor-grade reports, and scoped fix packages.
Personal detailsTeam
For security, AppSec, R&D, and project leaders who need baselines, iterations, requirement-to-control analysis, owner tasks, SCA/CI evidence, and release policy gates.
Team detailsEnterprise
For organizations that create Team workspaces for product lines or business units and need portal-level posture, iteration tracking, task dispatch, release readiness, RBAC, policy distribution, and audit trails.
Enterprise Portal