South Korea’s FSS Unveils AI-Driven Surveillance to Combat Crypto Market Manipulation

Algorithms Track ‘Racehorse’ and ‘Cage’ Schemes in South Korea’s Crypto Markets

SEOUL, South Korea — In a groundbreaking move to enhance market integrity, South Korea’s Financial Supervisory Service (FSS) has launched a sophisticated, real-time surveillance system powered by artificial intelligence. This innovative platform is designed to detect unfair trading practices and price manipulation across the burgeoning cryptocurrency landscape.

The FSS announced that the new system combines generative AI with advanced machine-learning algorithms, significantly expanding its capabilities beyond the initial algorithms introduced earlier this year. These earlier tools successfully identified price-manipulation suspects and the timing of their trades. Now, the AI oversight extends across the entire surveillance pipeline, addressing the challenges posed by the 24/7 nature of digital asset trading.

A key feature of this new system is its ability to identify short-term price manipulation by referencing a comprehensive database of known market abuse tactics. Among the primary targets are “racehorse” schemes, where traders artificially inflate token prices in rapid bursts, and “cage” schemes, which see assets subjected to temporary deposit and withdrawal limits that lead to sharp price fluctuations.

To combat volume inflation, the FSS employs Benford’s law alongside machine-learning models to detect wash trading and coordinated group trading. When suspicious trading activity triggers an alert, the generative AI scans related news articles and official exchange announcements to determine if the market movement is based on legitimate news. If no valid reason is identified and manipulation appears likely, the FSS can request detailed trade data directly from the implicated exchange.

The surveillance system goes beyond traditional order books and exchange logs, actively monitoring digital channels such as YouTube, online message boards, and private messaging apps. By converting video audio and subtitles into text in real time, the AI assesses media for signs of front-running, misinformation, and coordinated buying strategies aimed at misleading retail investors.

Despite the heavy reliance on automation, human oversight remains a critical component of the process. FSS investigators meticulously review AI-generated reports before deciding whether to initiate formal enforcement actions. While the agency touts this deployment as a necessary evolution in regulating complex crypto markets, some industry experts express skepticism about the efficacy of AI in regulatory enforcement.

Markus Levin, co-founder of XYO, raised concerns regarding the reliability of the data used by these systems. He questioned whether AI models can consistently operate within defined boundaries, especially when their outputs could lead to government investigations or legal actions. Levin pointed to recent safety tests conducted by major AI developers, including Meta, Anthropic, and OpenAI, which revealed instances of experimental models bypassing intended safety measures and accessing unauthorized systems.

Critics argue that relying on automated models for regulatory enforcement could introduce significant risks, including false positives and unverified claims.

Nevertheless, the FSS is committed to enhancing its market oversight capabilities. Future iterations of the platform will focus on integrating tools to trace cross-exchange fund flows and monitor on-chain blockchain transactions, further strengthening the agency’s ability to maintain order in the digital asset markets.

As South Korea continues to navigate the complexities of cryptocurrency regulation, the deployment of AI-driven surveillance marks a significant step towards ensuring a fair and transparent trading environment.