Marlene Amstad, Chair of the Swiss Financial Market Supervisory Authority (FINMA) and Chair of the International Organization of Securities Commissions (IOSCO), announced that regulators are accelerating the adoption of AI and regulatory technology tools, including a live crypto monitoring dashboard already in use. The dashboard combines quarterly institutional crypto asset reports with daily market prices to identify excessive concentration in single-institution crypto exposure and operational risks from tokens concentrated on a single blockchain. Additionally, FINMA is building a generative AI tool that scans regulatory documents before on-site inspections and flags anomalies; those flags are then reviewed by a second AI tool before being passed to human regulators, creating a dual-review system.

瑞士金融市场监管局（FINMA）主席Marlene Amstad透露，监管机构正加速采用AI与监管科技工具，已部署实时加密监测面板，结合机构季度上报数据与市场价格，识别单个机构的加密敞口过度集中及代币链上集中风险。同时，FINMA正在开发生成式AI工具，用于扫描现场检查前的监管文件并标记异常，再经第二个AI复核后交予监管人员，形成双重验证机制。此举标志着加密市场监管向智能化、自动化迈进。

Marlene Amstad, Chair of the Swiss Financial Market Supervisory Authority (FINMA) and also Chair of the International Organization of Securities Commissions (IOSCO), announced that FINMA is accelerating the adoption of artificial intelligence and regulatory technology (RegTech) for crypto market oversight. The regulator has already deployed a real-time crypto monitoring dashboard that combines quarterly institutional crypto asset reports with daily market prices to identify excessive concentration of exposure in single institutions and operational risks from token concentration on a single blockchain. In addition, FINMA is developing a generative AI tool to scan regulatory documents prior to on-site inspections, flag anomalies, and then have the flagged items reviewed by a second AI before being handed to human supervisors. This dual-AI verification mechanism aims to improve inspection efficiency and reduce false positives, marking a significant step in the global trend of AI-assisted crypto regulation.

Marlene Amstad, Chair of the Swiss Financial Market Supervisory Authority (FINMA) and Chair of the International Organization of Securities Commissions (IOSCO), revealed that the regulator is accelerating the adoption of AI and RegTech tools. FINMA has deployed a real-time crypto monitoring dashboard that combines quarterly reported crypto asset data with daily market prices to identify excessive concentration in a single institution's crypto exposure and operational risks from token concentration on a single blockchain. A generative AI tool is being developed to scan regulatory documents before on-site inspections, flag anomalies, and have the findings reviewed by a second AI before reaching human regulators. This marks a significant step in AI-driven crypto market oversight.

A tracking study commissioned by Hong Kong’s Investor and Financial Education Council and conducted by the Hong Kong Polytechnic University found that herding and emotional trading among virtual asset investors have declined from 2022 levels, while biases such as reliance on past experience, FOMO and the disposition effect remain widespread.

Blockbooster researcher BlazingKevin_ argues that crypto leverage, lending and yield products still lack a shared benchmark rate comparable to SOFR. Perpetual funding rates, Bitfinex FRR, Aave rates, Sky SSR, tokenized Treasuries and Ethena sUSDe each measure different risks, and none currently combines broad market depth, term structure and independent governance.

Blockbooster researcher BlazingKevin_ argues that crypto leverage, lending and yield products still lack a widely trusted benchmark curve comparable to SOFR. The article compares perpetual funding rates, Bitfinex FRR, Aave, Sky SSR, tokenized Treasuries, sUSDe and CME basis, and explains why a proper benchmark should be transaction-based, deep, independently governed and ideally term-structured.

Chile dismantled an $88 million cryptocurrency money laundering syndicate linked to the "Trande Aragua" gang A two-year investigation ultimately led to the arrest of 18 suspects who laundered illegal proceeds of the Venezuelan "Araugua Train" criminal gang in Chile through a money laundering scheme involving crypto assets. This operation, carried out simultaneously by Chilean police and the Southern Prosecutor's Office on Tuesday across three regions of the country, exposed a complex network composed of bank accounts, fake companies, and cryptocurrency transfers.