Key Highlights
Ledger CTO Charles Guillemet said AI is rapidly reducing the cost of vulnerability research and exploitation.
AI-powered tools can analyze large codebases in hours and identify vulnerability patterns that previously took skilled researchers weeks to uncover.
Crypto security now needs stronger foundations, including hardware-rooted trust, secure enclaves, and formal verification for critical systems.
Artificial intelligence is making crypto attacks cheaper and faster to execute, forcing security teams to rethink how they protect wallets, infrastructure, and critical code. Ledger CTO Charles Guillemet warned that AI is worsening crypto’s security problem, while Ledger’s own March 25 essay described the shift more directly: AI is collapsing the cost of cyberattacks and weakening the old assumptions behind “secure enough” systems.
In Ledger’s published explanation, Guillemet argues that security has always been an economic game. Defenders win when attacks are too expensive, too slow, or too uncertain to justify. His view is that AI is breaking that balance by sharply reducing the cost of vulnerability research and, increasingly, the cost of exploitation. Ledger wrote that AI-powered tools can analyze vast codebases in hours and spot vulnerability patterns that would previously have taken talented researchers weeks to find.
The company says older security doctrines, such as obscurity and basic hardening, are becoming less reliable when attackers can use AI to deobfuscate code, explore code paths more quickly, and automate parts of the research process. Guillemet points to hardware-rooted trust, secure enclaves, cryptographic guarantees, and formal verification as stronger long-term defenses for critical systems.
As AI lowers the cost of attack, crypto teams can no longer rely on assumptions. They need security models that remain hard to break even when attackers have better automation, faster tooling, and a larger surface area of poorly written code to target.
