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Financial regulators scramble to counter AI rise with new supervisory tools

Switzerland's FINMA, led by President Marlene Amstad, is spearheading a global regulatory push to deploy AI-powered supervisory tools across markets covering 95% of global finance, aiming to counter risks from AI in banking and crypto. The initiative, called SupTech, includes a hackathon for crypto-focused tools, while US regulators like the OCC and Federal Reserve have intensified scrutiny of AI use in lending and fraud detection.

read2 min views1 publishedJun 26, 2026
Financial regulators scramble to counter AI rise with new supervisory tools
Image: Cryptobriefing (auto-discovered)

Switzerland's FINMA is leading a global push to fight fire with fire, deploying AI-powered oversight tech across markets covering 95% of global finance

The world’s financial watchdogs have a new problem. The same AI tools making markets faster and more efficient are also making them harder to police. So regulators are doing what any reasonable opponent would do: building their own AI arsenal.

Switzerland’s financial regulator FINMA, led by President Marlene Amstad, is at the tip of the spear. Amstad, who also chairs an IOSCO forum on supervisory technology, told Reuters on June 26 that banks and regulators need to move quickly to address vulnerabilities that AI is amplifying across financial systems.

Fighting fire with fire #

The strategy has a name: SupTech, short for supervisory technology.

The IOSCO forum Amstad chairs covers regulators overseeing approximately 95% of global financial markets. When this group decides to adopt AI-powered tools, the ripple effects touch nearly every major exchange, bank, and trading platform on the planet.

And crypto is squarely in the crosshairs. A recent hackathon brought together roughly 100 specialists with a specific mission: develop supervisory tools tailored for cryptocurrency markets.

The US is paying attention too #

The push isn’t limited to Switzerland. In the US, the Office of the Comptroller of the Currency and the Federal Reserve have both intensified their scrutiny of how banks use AI. The focus areas include lending decisions, compliance workflows, and fraud detection, all places where algorithmic bias or failure could cause serious damage.

This heightened attention arrived in mid-June 2026, roughly the same time that vulnerabilities in advanced AI systems raised alarm bells among regulators. US export restrictions on certain AI technologies earlier in June added another layer of complexity, blurring the line between financial regulation and geopolitical strategy.

What this means for crypto investors #

For the crypto industry, the implications cut both ways. Crypto firms, exchanges, and DeFi protocols will likely face pressure to build compliance features directly into their products. Smaller players without the resources to adapt could find themselves squeezed out, accelerating consolidation in an industry that prides itself on decentralization.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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