China Unveils AI-Powered System for Crypto Money Laundering Detection

China's National Police University has developed an AI-powered detection framework to identify money laundering and economic crimes involving virtual assets. The system combines artificial intelligence with large language models to analyze transaction flows across blockchain networks, achieving a 90% accuracy rate in flagging suspicious transactions.

The algorithm integrates AI-driven pattern recognition with LLM capabilities to spot anomalies indicative of layering, structuring, and other laundering techniques that criminals use to obscure the origin of illicit funds. It can process vast amounts of on-chain data, identifying behavioral patterns that traditional rule-based systems might miss.

China's Supreme People's Procuratorate reported 3,259 people were prosecuted in 2025 for money laundering involving virtual assets and underground finance, highlighting the growing scale of crypto-related financial crime in the country. This development signals a significant advancement in the use of AI for financial crime detection, with China's law enforcement agencies investing heavily in blockchain forensics.