Map the real attack surface
Inspect language-aware sources, sinks, trust boundaries, and reachable code paths before prioritising leads.
Releasing shortly
OpenVuln brings diverse open-model reasoning to source-code security. Multiple model perspectives generate, attack, and refine vulnerability hypotheses before a finding is ready for human review.
No single model gets the final word.
01 / Why OpenVuln
OpenVuln is being built around explicit hypotheses, code-level evidence, and critical review. Model diversity gives you freedom of choice without locking you into a single model.
Inspect language-aware sources, sinks, trust boundaries, and reachable code paths before prioritising leads.
Use adversarial review and multiple reasoning perspectives to test assumptions and reduce fragile conclusions.
Every finding is tied to the exact code and marked by how far it has been verified. A convincing AI explanation is never treated as proof.
02 / Early access
Join the early-access list for launch news, research updates, and an invitation when the first service preview opens.