MEXC’s AI Predictive Risk Control Model Helps Cut Criminal Success by Over a Third

As crypto-related financial crime becomes more complex and transnational, exchanges are increasingly relying on artificial intelligence to stay ahead. MEXC’s latest Q3 2025 Risk Control Performance Review shows that its AI-driven predictive framework has helped reduce organized crime activity on the platform by 36%, marking one of the strongest quarterly declines reported in the sector this ￰0￱ to the exchange, the AI system integrates transaction-pattern recognition, behavioral modeling, and fraud-signature analytics to identify illicit activity before it ￰1￱ Q2 2025, the system has flagged or blocked over 70,000 suspicious actions, freezing approximately $4.97 million USDT in questionable funds and intercepting 48 confirmed fraud cases during July and August ￰2￱ ￰3￱ and Synthetic Identities A growing focus for the system has been identity verification, as exchanges face a surge in AI-generated deepfakes used to bypass Know Your Customer (KYC) ￰4￱ reported detecting 3,097 fraudulent liveness-verification attempts in Q3 — a 15% increase from the previous ￰5￱ company said its detection modules are trained on synthetic-media datasets, improving the system’s ability to filter out falsified identities without slowing down onboarding.

Deepfake-based identity spoofing is one of the most dangerous frontiers in digital fraud, and early detection has become central to maintaining both compliance and user ￰6￱ Impact and Data-Driven Response MEXC’s AI model adapts to regional crime patterns through continuous retraining using local incident ￰7￱ Southeast Asia, a region long targeted by cross-border scam networks, the exchange reported a 59% drop in fraud incidents in ￰8￱ — previously identified as a hotspot for collusive accounts — saw a 72% reduction in suspicious activity following the rollout of stricter withdrawal verification and AI-powered ￰9￱ South Asia, organized-crime activity fell 35% after MEXC retrained its model on regional behavioral data, while the CIS region saw a 31% improvement linked to new anomaly-detection tools and expanded cooperation with local ￰10￱ framework integrates real-time data analysis with regional escalation channels, scanning every transaction for anomalies in spending behavior, device fingerprints, and network ￰11￱ irregularities are detected, cases are automatically escalated to MEXC’s 24-hour security desk, which coordinates directly with law ￰12￱ Enforcement Partnerships and Recoveries In Q3, MEXC processed 593 assistance requests and 121 official freeze orders from global law enforcement ￰13￱ company’s cooperation helped recover $900,000 USDT in user funds that had been mistakenly sent to incorrect addresses — part of its broader initiative to enhance user asset protection.

MEXC’s customer protection and AML efforts were recognized at the International Counter-Fraud Conference (ICFC 2025) in Seoul, where the company presented its cross-border anti-fraud framework co-developed with compliance firm ￰14￱ detection, MEXC has positioned AI as its “first line of defense,” backed by ongoing joint training programs with regulators and enforcement agencies across Southeast Asia, the CIS, and Latin ￰15￱ initiatives focus on improving investigative coordination, evidence handling, and digital forensics through hands-on case simulation and AI-assisted analysis. Disclaimer: This article is provided for informational purposes ￰16￱ is not offered or intended to be used as legal, tax, investment, financial, or other advice.