Bitcoin Red Team Turns to Chinese AI for Open-Source Security Audits, Unearths 4,962 Flaws

BitcoinWorld Bitcoin Red Team Turns to Chinese AI for Open-Source Security Audits, Unearths 4,962 Flaws Bitcoin Red Team, a voluntary research collective focused on identifying security vulnerabilities across the broader Bitcoin open-source ecosystem, has adopted Chinese AI models, including Moonshot AI’s ‘Kimi K3,’ to enhance its code auditing capabilities.

The group’s lead, known as Calle, told The Block that the decision to switch from U.S.-based AI tools came after strict guardrails on American models disrupted their research process, with the Chinese alternatives offering fewer verification constraints and proving better suited for large-scale code analysis.

Scope of the Security Audit In August, the group scanned 390 projects and reported a total of 4,962 flaws. Of those, 85 were classified as critical and 635 as high risk.

Calle noted that open-source code built up over decades is now colliding with AI-driven verification work, and that flaws are more severe in complex projects such as the Lightning Network, a layer-2 scaling solution for Bitcoin.