IntroducingSherlock AUDIT ENGINE
The orchestration layer for AI-native security review. Frontier LLMs, purpose-built AI auditors, and elite human researchers run against your codebase in one coordinated engagement, with every validated finding consolidated into a single report.
Three review layers. One coordinated audit.
For the first time, frontier LLMs, purpose-built AI auditors, and elite human researchers can run against the same codebase in one fixed security review. Audit Engine coordinates each layer into a stronger audit workflow.
Frontier LLMs
Claude, GPT, and Gemini reason through your entire codebase independently, each applying different detection patterns to the same code.
AI Auditors + Skills
Purpose-built security tools like Sherlock AI run with custom skills files tuned to Solidity vulnerability classes and protocol logic.
Elite Human Researchers
Top-ranked researchers armed with AI tooling hunt for complex logic bugs and protocol-level vulnerabilities no automated tool catches alone.
Audit Engine’s first flagship engagement brings the full model to life: frontier LLMs, AI auditors, and elite human researchers reviewing one of Web3’s most important infrastructure upgrades.
Complete Lifecycle Security:
Development, audit, Post-Launch Protection
Sherlock AI runs during development: reviewing code during the development cycle, flagging risky patterns & logic paths early so teams enter later stages with a cleaner, more stable codebase.
Collaborative audits and contests concentrate expert attention where it matters most, surfacing deeper issues before launch and reducing rework late in the process.
The context built during development and audit carries forward - Live code stays under active scrutiny through bounties, and when issues emerge, teams respond clearly with no downtime.
