Wallet security incidents put AI-driven crypto defense under the spotlight
A string of wallet-related security incidents over the past month has sharpened attention on a wider shift in crypto security: the attack surface is expanding well beyond private keys, and AI is making every stage of the attack chain cheaper to run. The article links three separate cases — Coldcard’s random number generation flaw, Trezor’s exposure tied to a third-party logistics service, and SafePal’s risks involving order systems and plugin permissions — to a broader pattern in which code review, phishing generation, target selection and social engineering can all be automated at a much larger scale. It argues that wallet security can no longer be reduced to whether a seed phrase was stolen. Risks now span key generation, hardware, supply chains, user identity data, dApp connections, approvals, support channels and even AI agents. The piece also revisits earlier discussions from imToken on “AI × Web3 security,” outlining a more active defense model in which wallets use AI to review code dependencies, analyze suspicious dApps, simulate transaction outcomes before signing and build dynamic risk models around user behavior. Even so, it stresses that critical actions such as large transfers, new approvals and sensitive contract interactions still need clear user confirmation, least-privilege controls and explainable warnings.








