Blockchain analytics firm TRM Labs has highlighted a significant rise in the use of AI agents within crypto crime networks. According to their report, the increasing autonomy of AI in the crypto ecosystem allows these systems to execute fund transfers and on-chain operations with minimal human intervention. In 2025, the scale of illicit crypto fund flows reached $158 billion, with AI-driven scams surging by approximately 500% year-over-year. TRM Labs notes that AI agents can autonomously split funds, select cross-chain bridges, and execute decentralized platform exchanges, significantly reducing the time window for money laundering and asset transfers. This development poses challenges for traditional monitoring methods, making it harder to detect anomalies in a timely manner.
TRM Labs Reports Surge in AI-Driven Crypto Crime Networks
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