We audit your source code against ten frontier language models in parallel, then commission an eleventh — the scorer — to adjudicate consensus. The result is a single, signed report that you can publish, cite, or hand to a board.
Engagements of Record
Clavitor·Postern Inc.·Zentry Labs·Marlin·Osprey·Courant
The Procedure
Drag your source directory or paste a repository URL. We concatenate every file, compute a SHA-256 hash, and pair the corpus with a security checklist tailored to your language and domain.
The same prompt is dispatched to ten frontier models in parallel — Claude, Gemini, GPT, Grok, Llama, Qwen, DeepSeek, Kimi, Codestral, MiniMax. Each audits independently, blind to the others.
An eleventh model — the scorer — reconciles all ten reports. Findings are cross-referenced, consensus-weighted, and compiled into a single signed scorecard.
The Output
Every report carries a SHA-256 content hash, a timestamped seal, and the full findings table — severity, consensus count, and penalty. The scorecard is deterministic: same inputs, same score.
View the full specimen →| Finding | Severity | Consensus | Penalty |
|---|---|---|---|
| Timing side-channel in HMAC compare | Medium | 4 / 10 | −3 |
| No zeroization of key material | Medium | 6 / 10 | −3 |
| Missing HKDF length validation | Low | 3 / 10 | −2 |
| Nonce reuse risk in stream API | Low | 2 / 10 | −1 |
Tariff
Information
Per audit engagement
Publication
Per audit engagement
An argument from first principles
One model can be wrong. Ten models, asked the same question independently and reconciled by an eleventh, are evidence.