TRM Labs report finds AI adoption in crypto crime jumped 40% year-over-year as hackers leverage AI to discover vulnerabilities and target IT infrastructure.
Security & Exploits ·
TRM Labs reported a 40% year-over-year increase in AI adoption among participants in crypto crime, according to research findings. The shift reflects a growing trend of threat actors leveraging artificial intelligence tools to identify previously undetected weaknesses in systems and gain unauthorized access to information technology infrastructure.
The surge highlights a tactical evolution in how bad actors approach cryptocurrency-related crime. Rather than relying solely on conventional methods, attackers are now incorporating AI capabilities into their reconnaissance and infiltration workflows, enabling them to operate with greater efficiency and precision against digital assets and the organizations that manage them.
The report does not specify which particular AI techniques or models are most prevalent among criminal actors, nor does it detail the specific vulnerability classes being exploited or the financial impact of these AI-enabled attacks.