Sherlock AI:
Security That
Starts in Development
Bring Researcher
Level Security
to Every Commit
- Researcher-Trained Intelligence: Developed using real audit data and expert methodology to think like top security researchers.
- Native GitHub Integration: Runs automated checks on every commit or PR, surfacing vulnerabilities early in the development cycle.
- Detects Real Exploit Paths: Maps contract interactions to uncover logic, access, and permission flaws that real attackers target.
- Actionable Security Reports: Delivers clear issue context, severity, and remediation tracking to improve every release.
Rock solid security has always been a priority for Sky. Over time, it's become one of the defining features of the project. It only makes sense that the team would work with the market leader, Sherlock.
Save Time. Spend Smarter. Strengthen Every Launch.
Elite Expertise,
Encoded
Sherlock AI is trained on the knowledge and instincts of the world’s top Web3 security researchers, including record-setting auditors like 0x52.
The result is researcher-level reasoning inside an automated system that gives every developer the advantage of elite security insight.
How Sherlock AI Fits Into
Your Development
Workflow
What Sherlock AI sees in your code
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.
