Bitcoin Red Team Confirms AI Is Detecting Critical Exploits Across Core Projects
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A volunteer security initiative says it used frontier AI models to scan 150 Bitcoin repositories and found more than a dozen vulnerabilities as developers increasingly use artificial intelligence to audit blockchains.
Key facts
In a post on X earlier this week, AnchorWatch CEO Rob Hamilton said the group has spent about $20,000 on AI services while building a "Bitcoin red team" platform
Earlier this year, researchers using Anthropic's Claude Opus 4.8 uncovered a four-year-old flaw in Zcash that could have allowed attackers to create unlimited counterfeit ZEC
We have been working around the clock, with ~$20,000 of spend up to this point across different services,” he wrote
According to Hamilton, the Bitcoin red team uses Kimi K3 alongside OpenAI’s GPT Sol, Anthropic’s Claude Fable and Opus models, and Z.ai’s GLM 5.2 to identify vulnerabilities and generate supporting
Summary
The initiative says it has scanned about 150 Bitcoin repositories and made more than a dozen vulnerability disclosures. The team is developing an open-source AI platform for auditing Bitcoin software. Developers say the effort is uncovering critical vulnerabilities across wallets, cryptographic libraries, and infrastructure. In a post on X earlier this week, AnchorWatch CEO Rob Hamilton said the group has spent about $20,000 on AI services while building a "Bitcoin red team" platform.