Sherlock launches Audit Engine, an AI-native security review system for analyzing high-stakes smart contract code.
AI & Agents ·
Sherlock has launched Audit Engine, an AI-native security review system that combines multiple AI security approaches to analyze high-stakes smart contract code. The release arrives as the broader audit ecosystem expands to include AI-driven tools alongside traditional security review methods.
The move reflects a wider industry shift toward automation in vulnerability detection. Other platforms have recently introduced similar capabilities—CertiK opened its AI Auditor to public testing after internal success, and Yield Basis used an AI-powered security review to identify findings across multiple attack surfaces in live mainnet contracts. These tools aim to accelerate the detection of vulnerabilities while reducing noise in audit reports, addressing a longstanding friction point for developers integrating security reviews into deployment workflows.
It remains unclear whether Audit Engine will be publicly available, what specific AI methodologies it employs beyond the stated multi-approach design, or how its accuracy or coverage compares to competing AI audit systems now entering the market. The competitive and technical details distinguishing Sherlock's offering from existing alternatives have not been disclosed.