Economy June 26, 2026 07:30 AM

Swiss Regulator Urges Rapid Tech Adoption as AI Amplifies Cybersecurity Threats

FINMA leads international supervisory tech forum and hosts hackathon to build tools for crypto oversight and patch AI-exposed vulnerabilities

By Caleb Monroe
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Marlene Amstad, president of Swiss market regulator FINMA and chair of an international supervisory technology forum, said regulators and banks must accelerate adoption of new technology to close gaps that AI is exposing in financial systems. FINMA has helped create a forum within the International Organization of Securities Commissions to promote AI use by supervisors covering about 95% of global markets and convened a roughly 100-person hackathon to develop tools for crypto-market supervision. Concerns stem from models that reveal software vulnerabilities and raise national security and accountability questions.

Swiss Regulator Urges Rapid Tech Adoption as AI Amplifies Cybersecurity Threats
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Key Points

  • FINMA president Marlene Amstad urged faster adoption of new technology by banks and supervisors to address AI-amplified cybersecurity risks.
  • FINMA helped create a forum within the International Organization of Securities Commissions to promote AI use by regulators covering about 95% of global financial markets.
  • Around 100 policy and technology specialists participated in a hackathon this week to co-develop supervisory tools for crypto markets; regulators are considering embedding safeguards directly into digital asset systems.

Marlene Amstad, who leads the Swiss market regulator FINMA and chairs an international forum on supervisory technology, warned that banks and financial sector supervisors must move faster to adopt new technological defenses as artificial intelligence intensifies cybersecurity risks.

Speaking after an initial hackathon aimed at producing shared tools for market supervisors, Amstad said models that detect software vulnerabilities have recently highlighted a rise in cyberattack and national security risks. Those same developments, she said, are prompting fresh questions about safety and accountability inside financial firms.

"As hackers move faster, banks must adapt by patching vulnerabilities more rapidly," Amstad said in an interview. Her remarks followed a convening of about 100 policy and technology specialists who participated this week in a hackathon designed to jointly build supervisory tools focused on crypto markets.

FINMA has helped establish a forum under the International Organization of Securities Commissions - the market regulation standard setter - with the explicit objective of encouraging adoption of AI by regulators that together oversee roughly 95% of global financial markets. The forum is intended to accelerate capacity building and the creation of shared approaches to supervise AI-driven systems.

Participants at the hackathon worked on prototype tools that supervisors could use when monitoring digital asset markets. Amstad said regulators are exploring options such as embedding safeguards directly into digital asset systems, an approach under consideration as part of wider efforts to reduce operational exposure.

Experience with some recent AI models has underscored these vulnerabilities. Amstad pointed to models such as Anthropic's Mythos as having revealed operational risks tied to AI deployment. Those concerns have already fed into official government action: this month the U.S. government ordered Anthropic to suspend exports of its latest Mythos and Fable AI models on national security grounds.

The broader vendor and industry reaction to those risks is also visible. Chinese cybersecurity firm 360 Security Technology said this week it has developed a domestic response to Mythos, reflecting demand from some markets for locally controlled alternatives.

Amstad emphasized that Switzerland needs to maintain access to the most advanced AI models even as it works to deploy stronger safeguards. She said AI itself will be essential to harden systems prior to deployment and to help supervisors and firms identify and remediate weaknesses more quickly.

The discussion signals a push by supervisors to combine shared technological tools, cross-jurisdictional cooperation, and vendor engagement to address AI-related safety and accountability questions in the financial sector. The initiative is at an early stage - evidenced by the inaugural hackathon - but it reflects a recognition among regulators that new capabilities will be required as cyber threats evolve alongside AI capabilities.

Risks

  • AI-driven models have revealed software vulnerabilities that increase cyberattack and national security risks, affecting banks and market infrastructure.
  • Operational risks tied to AI deployments have been exposed by models such as Anthropic's Mythos, prompting government export controls and vendor responses that could disrupt model availability.
  • Reliance on external AI models may create dependencies and access issues for jurisdictions; Switzerland noted the importance of retaining access to advanced models while hardening systems.

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