A practical look at AI-assisted formal verification for onchain systems: what it can rule out, what sits outside the model, and when a proof no longer applies.
Explore the latest upgrades to Sherlock Audit Engine: Self-serve reviews, frontier model access, and expanded review controls.
The orchestration layer for AI-native security review. Frontier LLMs, purpose-built AI auditors, and AI-native security researchers run against your codebase in one coordinated engagement, with every validated finding consolidated into one final audit result.
A high-level article going over penetration testing in the Web3 space, and what protocol teams need to be aware of when securing their infrastructure.
Sherlock’s State of Web3 Security: Q1 2026 breaks down the biggest crypto security incidents, attack trends, and over $450M in losses across Web3 from January 1 to April 1, 2026.
Where Rust security actually breaks in 2026: unsafe contracts, FFI boundaries, async deadlocks, and supply chain gaps. Technical audit patterns with Miri, sanitizers, and fuzzing.
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