US Treasury Secretary Scott Bessent is initiating a shift toward active government regulation of artificial intelligence following warnings about potential risks to the national payment system.

What Happened
As part of a new US Treasury policy, a voluntary process for auditing AI models is being introduced, along with the creation of a specialized cyber-clearing center to monitor threats. The primary trigger was the concern that advanced models, such as Anthropic Mythos, could be used to carry out cyberattacks on the Fedwire system, which processes quarterly transactions exceeding $283 trillion.
Context
AI security is shifting from the realm of ethics to the realm of national security. The government is seeking to prevent the use of LLMs to compromise critical financial infrastructure, which requires a transition from a purely research-focused approach to strict control over the models' capabilities to conduct complex, targeted attacks.
Why It Matters for the Industry
For AI developers, increased oversight from financial regulators creates new operational and regulatory barriers. This will require the implementation of security protocols focused on protecting financial infrastructure and may lead to slower release cycles for new models. Simultaneously, a new market for specialized AI Safety & Compliance tools for the fintech sector is emerging.
Why It Matters for Users
For a wide range of users and developers of open solutions, this could mean a slowdown in the release of powerful open-weight models (Open Source/Weights) due to concerns regarding financial stability. The development of advanced AI systems will now directly depend on cybersecurity standards and assessments of their impact on the global financial system.
What Is Not Yet Known / Limitations
There are differing assessments of the consequences: technical specialists may expect development cycles to slow down due to new evaluation procedures, while business representatives see this as an opportunity for the emergence of new market niches in the compliance sector.
Sources
Author
Look at AI, Editorial Team
