How HyperAudit Works
Three competing teams. Blind-first analysis. Proof-of-concept for every critical finding.
Blind Audit
Three AI teams analyze your contract simultaneously — without seeing automated tool results first. This forces independent reasoning instead of anchoring to known patterns. No team sees the others' work.
Competitive Cross-Audit
Each team reviews the other two teams' findings and tool output is released. They compete to find what the others missed, challenge incorrect severities, and flag false positives. Every correction is documented.
Falsification & Verification
A Falsification Board challenges every HIGH and CRITICAL finding. A Validator Agent generates proof-of-concept exploit code for each confirmed finding. A Bytecode Forensics Agent verifies results against compiled bytecode — independent of source code.
What Makes This Different
Every design decision is built to catch what single-pass audits miss.
34 Specialized AI Agents
Each audit deploys 34 agents organized across three independent teams — plus adversarial verification agents that challenge findings before they reach your report.
Blind-First Analysis
Teams begin without seeing automated tool results. This forces independent reasoning and prevents anchoring to known patterns — uncovering vulnerabilities that tool-dependent audits miss.
Competitive Cross-Checking
Each team reviews the other two teams' work and competes to find what they missed. Disagreements are documented. False positives are eliminated through adversarial debate.
Proof-of-Concept Verification
Every CRITICAL and HIGH finding includes executable proof-of-concept code. Not just a claim that something is vulnerable — verifiable proof that it can be exploited.
Adversarial Falsification
Before any finding makes the final report, a dedicated falsification process actively tries to disprove it. Only findings that survive this challenge are confirmed.
Multi-Layer Tooling
Industry-standard automated tools — static analysis, symbolic execution, fuzzing, and custom checks — provide the baseline. AI teams analyze deeper, finding what tools alone cannot.
Confidence Scoring
Every finding shows how many teams agreed. Higher consensus = higher confidence.
All 3 teams found it. Definitely real.
2 teams found it. The miss is analyzed.
1 team found it. Could be subtle or false positive.
No team flagged this area.
Deploy with proof, not hope.
34 agents. Three competing teams. A full audit report with every finding cross-verified and proof-of-concept code included. Starting at $99.
No account required to get started. Pay per audit. Free re-audit included.