Bitcoin infrastructure has suffered a series of major security incidents in recent months, raising concerns about artificial intelligence making it dramatically cheaper to uncover bugs buried deep inside financial software.
Attackers recently drained around $114 million in bitcoin $BTC$77,719.45 from Coldcard wallets, while developers at Core Lightning issued an emergency after AI-generated security reports uncovered genuine vulnerabilities. Most recently, white-hat hackers exploited Blockstream’s Liquid Network, withdrawing roughly 4,000 $BTC ($317 million) before returning 3,400 $BTC after the vulnerability was patched.
The vulnerabilities highlight a paradox in Bitcoin’s design. While Bitcoin’s main layer is intentionally simple to minimize risk, the drive to introduce greater utility and speed, through smart contracts and off-chain scaling layers has introduced more complex and potentially more vulnerable codebases.
Furthermore, the incidents come as AI is increasingly being used to hunt for vulnerabilities at scale. In August, a group of 16 Bitcoin developers used AI models to sweep 390 Bitcoin projects, producing almost 5,000 findings including 85 initially rated critical.
“At some point we have to admit it. AI is finding bugs that no human can find,” Gregory said in a Telegram message.
