@zksecurityXYZ team shared their AI-powered ZK audit tool SnarkSentinel, discussing the potential of AI in identifying vulnerabilities in ZK circuits and applications, and the future of human auditors working with AI. @zksecurityXYZ 团队分享了他们开发的AI驱动的ZK审计工具SnarkSentinel,探讨了AI在发现零知识电路和应用中的漏洞方面的潜力,以及人类审计师与AI合作的未来。
Notes
AI in ZK circuit auditing shows potential for identifying known vulnerabilities.
SnarkSentinel performs well in comparing specifications and implementations.
AI audit tools face challenges in identifying low-level encryption vulnerabilities.
The codebase using Circom language is SnarkSentinel's first target.
The team adopted RAG and proxy technologies to improve AI audit efficiency.
Future audits may increasingly rely on human-AI collaboration.