Independent Security Audit
Your code. Ten models.
One consensus.
Run the same source code against 10+ frontier LLMs simultaneously. Each produces an independent audit report. A scorer compiles a cross-model consensus analysis with a publishable scorecard.
How it works
Upload
Point the tool at your source directory. It concatenates, hashes, and builds a structured audit prompt with a security checklist tailored to your language and domain.
Audit
The prompt is sent to 10+ frontier models in parallel — Claude, Gemini, GPT, Grok, Llama, Qwen, DeepSeek, Kimi, Codestral, MiniMax. Each audits independently.
Score
Findings are cross-referenced. A consensus-weighted scoring system discounts single-model hallucinations and amplifies real issues flagged by multiple models.
Scoring methodology
Each finding's severity is cross-referenced with the number of models that independently identified it. The penalty table:
| Severity | 1 model | 2–3 | 4–6 | 7+ |
|---|---|---|---|---|
| Critical | 12 | 24 | 40 | 60 |
| High | 6 | 12 | 20 | 30 |
| Medium | 3 | 6 | 10 | 15 |
| Low | 1 | 2 | 3 | 5 |
| Info | 0 | 0 | 0 | 0 |
Score = 100 − Σ(penalties). A single model flagging CRITICAL costs only 12 points. Seven models flagging it costs 60. Anti-hallucination by design.
Auditing panel
Reports are produced by independent frontier models from vendors across three continents. No vendor grades itself.