South Korea’s Financial Supervisory Service said it has upgraded its Virtual Assets Intelligence System for Trading Analysis, adding automated detection models to monitor crypto trading activity. The system now scans multiple timeframes to identify potential price manipulation without relying on manual case selection.
According to the regulator, the new algorithm applies a sliding-window analysis across trading datasets, allowing it to examine all possible manipulation periods. Tests on past investigations showed the system successfully detected known abuse patterns while flagging additional suspicious intervals that had previously gone unnoticed.
The watchdog also secured a 170 million won budget for 2026 to further expand AI capabilities, including tools to identify coordinated trading networks, analyze abnormal trading-related text, and trace the origins of funds used in manipulation. The initiative aligns with broader efforts by South Korean regulators to strengthen automated oversight across both digital asset and traditional capital markets.
