South Korea is upgrading its crypto market surveillance with AI-driven systems to automatically detect suspicious trading activity, replacing manual processes. The new model uses a sliding-window grid search technique to spot abnormal patterns and plans to enhance AI capabilities by 2026. Regulators are exploring proactive measures like payment suspensions to prevent illicit gains withdrawal. The shift to AI reflects the need for faster and more effective oversight as crypto trading becomes more decentralized and harder to monitor manually.
The Financial Supervisory Service in South Korea is enhancing its oversight of digital markets with the Virtual Assets Intelligence System for Trading Analysis (VISTA). Upgraded with automated detection algorithms, VISTA can independently pinpoint potential manipulation periods without manual input, allowing investigators to review suspicious intervals more efficiently. The system successfully identified known manipulation periods and flagged additional intervals that were previously difficult to detect.
AI surveillance in South Korea applies a sliding-window grid search approach to identify anomalies in trading data segments. The model prioritizes high-risk segments to focus on critical windows, enabling teams to detect patterns associated with manipulation more effectively. The automation addresses the challenges of monitoring real-time risks in crypto markets, where manipulation can occur in time frames too short for human-led monitoring systems.
The Financial Supervisory Service plans to enhance AI capabilities through 2026, adding tools to detect coordinated trading account networks and trace manipulation funding sources. This proactive approach aims to strengthen enforcement cases and reduce the ability of bad actors to obscure their tracks. The shift towards proactive intervention includes considering a payment suspension mechanism to block transactions linked to suspected manipulation.
AI-based surveillance systems in South Korea enhance consistency by flagging suspicious behavior and spotting repetitive misconduct patterns. While they increase expectations around data quality and monitoring capabilities, automated surveillance has limitations in detecting cross-venue manipulation and subtle narrative engineering. Balancing efficiency with transparency, due process, and accountability will be crucial as these systems shape Korea’s crypto markets and regulatory framework.
Read more at Cointelegraph: How South Korea Is Using AI to Detect Crypto Market Manipulation