Background: Accelerating RegTech Adoption
According to a report by PYMNTS, Marlene Amstad, Chair of both the Swiss Financial Market Supervisory Authority (FINMA) and the International Organization of Securities Commissions (IOSCO), has stated that regulatory bodies worldwide are accelerating the adoption of artificial intelligence and regulatory technology tools to address the growing complexity of crypto market oversight. Amstad noted that traditional quarterly reporting and post-hoc inspection models are no longer sufficient for real-time risk identification, and regulators need to proactively leverage AI to improve efficiency and coverage.
FINMA's Two AI Tools
FINMA has already deployed a live crypto monitoring dashboard. This dashboard integrates quarterly institutional crypto asset holdings with daily market prices to dynamically identify whether a single institution's crypto exposure is excessively concentrated, and whether a large number of tokens are concentrated on one blockchain, creating operational risks. Amstad emphasized that this real-time data fusion capability allows supervisors to detect potential systemic risk points at an early stage.
On the generative AI front, FINMA is developing a tool specifically designed to scan regulatory documents ahead of on-site inspections. The tool can automatically extract key information and flag anomalies. Flagged items are then reviewed by a second AI before being passed to human supervisors for further assessment. This 'dual-AI verification' mechanism aims to lower false positive rates while enhancing the efficiency of inspection preparation. Amstad indicated that the tool is currently under development and is expected to enter pilot testing within the next few months.
Industry Implications and Outlook
FINMA's initiative marks a substantive step forward in the global adoption of AI-assisted crypto regulation. From a market perspective, the deployment of the real-time monitoring dashboard implies that institutional crypto holders will face greater transparency constraints, particularly regarding concentration risk. Meanwhile, the use of generative AI in document review promises to significantly shorten inspection cycles, reduce labor costs, and minimize fatigue errors from repetitive tasks.
Notably, FINMA is not alone. Regulators such as the UK's Financial Conduct Authority (FCA) and the Monetary Authority of Singapore (MAS) are also actively exploring AI applications in areas like anti-money laundering and market surveillance. It is foreseeable that 'AI + regulation' will become a key component of global crypto regulatory standards in the coming years, prompting industry participants to proactively optimize their own risk control and disclosure systems.