New York City, United States, August 18th, 2026
The security platform coordinates frontier models, specialized AI auditors and AI-enabled researchers inside a single review.
At its core, Audit Engine is an orchestration platform for AI-native security review. The platform brings three layers of security intelligence into the same engagement: frontier LLMs, purpose-built AI auditors and AI-enabled security researchers.
All three work against the same scoped code and underlying context.
Sherlock coordinates the review and processes the resulting submissions through judging, validation and deduplication. The customer ultimately receives one consolidated audit result from a field of independent security approaches.
AI Is Finding More Bugs
The launch arrives as the security capabilities of frontier AI models are advancing quickly.
Sherlock is approaching that environment by giving protocols access to multiple forms of security intelligence simultaneously.
Audit Engine also attributes performance across the review stack. Teams can see which approaches delivered strong coverage, which maintained high precision, and where individual systems contributed security signal that others missed.
That creates an empirical view of what actually worked on a protocol's code, which can help shape future security spending, tooling and review composition.
Sherlock describes Audit Engine as “the orchestration layer for AI-native security review.”
About Sherlock
Sherlock says it completed more than 200 high-profile security engagements during the first half of 2026, a pace the company says has made it one of Web3’s fastest-growing security companies this year.
Head of MarketingAlec NovellaSherlock
