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FollowingTRM: Artificial intelligence adoption in cryptocurrency crimes has increased by 40% in one year
According to TRM Labs, the adoption rate of artificial intelligence in cryptocurrency crimes has increased by 40% in the past year. Its 2026 index shows that the application score in this field has increased from approximately 28 points in 2024 to 54 points (out of 100). Fraud has entered a stage of mature adoption, while hacking and ransomware are still in their emerging stages. Security teams are also using artificial intelligence to expose vulnerabilities and block suspicious transfers.
Artificial intelligence cryptocurrency crime expands through fraud and automated attacks
TRM said that since 2022, the number of reported cryptocurrency fraud related to artificial intelligence has increased by as much as 13 times. The reported deep counterfeiting fraud losses in 2026 have exceeded 263% of the total for the whole year of 2025. Chatbots, synthetic identities and cloned media allow small gangs to target more victims.
Artificial intelligence cryptocurrency crimes have also entered the field of automated ransomware operations. Sysdig documented Operation JADEPUFFER-an artificial intelligence-driven attack against exposed Langflow servers. The agent performs reconnaissance, credential searches, lateral movements, and destructive database encryption. It corrected a failed login in 31 seconds, demonstrating the rapid adaptability of automated attacks.
TRM statistics show that there were 201 digital asset hacking incidents in the first half of 2026. About 75% of the losses came from just 4% of incidents, most of which were infrastructure intrusions. Damage caused by North Korea-related operations was approximately US$600 million, accounting for 61% of the total losses.
Artificial intelligence cryptocurrency crime drives wallets and exchanges to automate
In a recent blog post, Coinkite used Kimi and other cutting-edge models to review Coldcard firmware (a seed generation vulnerability was previously discovered). 5.6.1 The version requires users to add physical randomness and adds transaction integrity checks. The new seed requires 65 unpredictable key presses, 50 dice rolls, or 128 coin rolls. Affected seed users must create new seeds and transfer funds. Simply installing updates will not protect a damaged wallet.
Bybit said that AI-backed controls prevented more than 30,000 suspicious withdrawals in the first half of the year. The exchange estimates that the requests involve more than $700 million in potential user losses. The amount describes potential losses that were prevented rather than stolen funds that were later recovered. Its automated audits reveal serious vulnerabilities three to five times higher rates than manual reviews. Artificial intelligence tools have also helped process more than 100,000 security alerts.
Regarding AI cryptocurrency crimes, Bybit said automated testing has shortened the evaluation period from two weeks to two hours. The exchange also blacklists more than 10,000 addresses related to suspicious activity.
