US banks were urgently gathered over Anthropic’s new AI model ⚠️

US banks were urgently gathered over Anthropic’s new AI model ⚠️

Market Analysis

April 13, 2026

In the United States, the topic of artificial intelligence is already moving not only into the conversation about productivity, but also into the zone of systemic financial risks. After the appearance of Claude Mythos Preview from Anthropic, representatives of the U.S. Treasury and the Federal Reserve held an urgent meeting with the heads of the biggest Wall Street banks. The reason is simple: the model is considered strong enough not only for finding vulnerabilities, but also for their potential use in critical digital infrastructure.

What exactly happened

At the meeting, banks were directly warned about a new type of cyber risk linked to Anthropic’s model. It is a system that can work much more effectively in finding bugs, exploits, and weak points in software environments. Anthropic itself has already restricted access to Mythos and did not release it to the public, instead launching a separate limited format of cooperation.

Why this matters

The problem here is not only in isolated hacker attacks. For the financial system, the risk looks broader: large banks operate on complex technology stacks, where new services are often combined with old systems. If the model is capable of quickly finding vulnerabilities or helping to exploit them, the scale of the potential impact rises sharply. That is exactly why regulators are already talking not about a local technical problem, but about a risk to the stability of the entire system.

  • regulators warned banks about a new level of AI cyber risk
  • Anthropic has already restricted access to the model
  • the focus shifted from the benefits of AI to its potential threat to critical infrastructure

What this means for the market

This story looks like an important turning point. Not long ago, AI in the financial sector was discussed mainly as a tool for automation, analysis, or cost optimization. Now regulators are effectively acknowledging a different scenario: frontier models can become a separate source of systemic threat. For banks, this means one thing – infrastructure protection will have to be reviewed faster and more aggressively than planned.

Conclusion

The Anthropic case shows that AI for the financial sector is already ceasing to be only a topic of innovation. If the model forces the U.S. Treasury, the Federal Reserve, and the biggest banks to gather for an urgent discussion about cyber threats, it means the market is entering a new phase. Here, it is already important not only what AI can give to business, but also how quickly it can become a factor of systemic risk.