CertiK Launches AI Auditor: Balancing Low False Positives and High Accuracy, Achieving 88.6% True Vulnerability Detection in Testing

BlockBeats message, April 7, Web3 security company CertiK announced the launch of an AI audit tool, AI Auditor, and also released a series of open-source integration solutions for AI development agents (AI Coding Agents). The system was initially built as an auxiliary tool for its internal security experts, and after more than six months of validation in real-world scenarios, it is now officially available to the public. It is reported that in an assessment of 35 real Web3 security incidents in 2026 (test data was not used in model training or knowledge base construction), CertiK AI Auditor precisely identified the root causes of 88.6% of the real vulnerabilities. The system is designed with a focus on “high signal-to-noise ratio,” meaning it maintains strong detection capability while significantly reducing the noise from false positives.

As AI development tools and agents become standard equipment for Web3 development teams, the industry’s security defense logic is accelerating its evolution from “post-incident detection” toward “end-to-end embedding.” CertiK AI Auditor takes security audits that were previously independent of a project’s later stages and brings them forward as an auxiliary feature running continuously within the workflow; this enables developers to obtain on-chain security insights without switching environments, and also shortens the time to respond to emerging threats.

It is reported that AI Auditor has been incorporated into CertiK’s long-term AI business roadmap. CertiK said the team is currently developing more new features and plans to further integrate security capabilities into a broader range of developer tools, compliance workflows, and institution-level monitoring systems.