AI Has Changed Bitcoin Security Forever

— AI has collapsed the cost of expert security research, reducing expenses from millions of dollars and months of work to hundreds of dollars and hours; vulnerabilities in Cold Card and BTC Pay Server existed for years but AI made finding them cheap.

— Strike operates a red team of AI agents running 24/7 to identify vulnerabilities before attackers do; the company treats AI as "first class citizens" to simulate attack paths across code, infrastructure, and dependencies.

— American AI companies are blocking legitimate security researchers while Chinese frontier models remain unrestricted and cheaper, disadvantaging white-hat defenders like the Bitcoin Red Team funded by OpenSats.

— Source visibility is not a security model; Cold Card's firmware was publicly viewable but licensed under Commons Clause, preventing adoption by others—true open source requires actual usage and review by multiple organizations to create a "review economy."

— Bitcoin's math and monetary policy (21 million supply, proof of work, elliptic curves) are immune to AI threats; AI targets human mistakes in application and infrastructure layers, not core cryptography.

— The new security standard requires continuous red-teaming, not just audits or penetration testing; defenders must attack themselves before adversaries do to remain secure.

— Adopt multi-signature custody for redundancy; a 2-of-3 multisig spread across different hardware wallets (Cold Card, Ledger, Trezor) protects against single-point compromise while requiring multiple layers of attack to succeed.

— Verify open-source claims carefully; check whether projects are truly open source (MIT license, widely adopted) versus merely source-visible (Commons Clause or proprietary licenses) and evaluate whether other companies depend on and actively review the code.

— Security now requires continuous adversarial testing, not one-time audits; use or support tools like the Bitcoin Red Team framework and consider how your chosen custodians invest in AI-powered vulnerability detection to stay ahead of attackers.