Anthropic has agreed to brief finance ministries and central banks on vulnerabilities identified by its new Mythos model following reported requests linked to the Financial Stability Board (FSB). The development marks another sign that advanced AI is no longer viewed solely as a tool that could disrupt the job market, but increasingly as a technology with systemic implications for economies, cyber resilience, and national security.
The issue has become particularly pressing because Mythos is not being treated like a conventional commercial AI release. Access has been heavily restricted, with only a small group of organizations permitted to use the model directly. Anthropic has also reportedly agreed not to release the system more broadly following requests from the White House, highlighting the sensitivity surrounding its capabilities.
Rather than focusing purely on theoretical risks, institutions are now grappling with how frontier AI models could expose real-world vulnerabilities in critical financial systems.
Anthropic Limits Access as Regulators Seek Answers
The reported briefings stem from requests made by Bank of England Governor Andrew Bailey, who also chairs the FSB, an international body made up of finance ministries, central banks, and regulators from G20 economies. The organization includes officials from countries such as the United States, the United Kingdom, Canada, Germany, Japan, Australia, Saudi Arabia, and China, giving the discussions significant global weight.
At the center of the concern is Anthropic’s claim that Mythos identified “thousands of high-severity vulnerabilities,” including flaws across major operating systems and web browsers. The company warned that these weaknesses could have severe consequences for economies, public safety, and national security if malicious actors exploited them before patches were implemented.
The scale of the concern helps explain why Anthropic has limited access to roughly 40 organizations, including major technology and financial companies such as Amazon, Microsoft, and JPMorgan Chase. Those organizations were reportedly granted access so they could begin identifying and resolving vulnerabilities uncovered by the model.
At the same time, regulators outside the US are becoming increasingly uneasy about uneven access to these tools. Some policymakers fear that limiting the technology to select US organizations could create imbalances in cyber preparedness, leaving other countries and institutions exposed to threats they cannot independently assess. Anthropic has reportedly received requests from multiple governments and institutions seeking either direct access or detailed briefings on the model’s findings.
Why Mythos Is Triggering Anxiety Across the Banking Sector
Concerns surrounding Mythos have been building for months. When Anthropic first introduced the model, access was reportedly restricted to companies participating in Project Glasswing, giving select organizations an opportunity to understand the technology before any broader deployment. The limited rollout immediately signaled that Anthropic viewed the model differently from earlier AI systems.
Since then, pressure surrounding frontier AI safety has intensified. Anthropic, alongside companies including Google, Microsoft, and xAI, has agreed to submit advanced AI systems for government-led testing in both the US and UK. The move represents a significant shift in how next-generation AI models are evaluated before public deployment, particularly when those systems demonstrate advanced cyber capabilities.
For many regulators, banking represents one of the industries most exposed to these risks. Financial institutions already face relentless cyber threats, but increasingly capable AI models could accelerate both the discovery and exploitation of vulnerabilities. When Mythos was introduced, Anthropic warned that “the fallout for economies, public safety, and national security could be severe,” a statement that immediately drew attention from policymakers and finance leaders.
Last month, British banks were reportedly granted access to the tool amid growing concern among senior finance figures over its potential impact. Anthropic has now agreed to brief finance ministries and central banks following Bailey’s request to the FSB. According to reports from the Financial Times, the company intends to demonstrate cybersecurity weaknesses in the global financial system identified by the model. Neither Anthropic nor the FSB publicly commented on the reported communications, but the discussions underline the seriousness with which governments are treating the issue.
Financial Regulators Prepare for an AI Security Era
The Mythos situation is also influencing broader regulatory discussions surrounding AI governance and cyber resilience. Alongside the reported briefings, the FSB is preparing guidance outlining “sound practices” for the use of AI in the financial system, with a consultation document expected in the near future. The initiative reflects growing recognition that financial institutions may need entirely new frameworks for assessing AI-related cyber risk.
International organizations are echoing those concerns. Earlier this month, the International Monetary Fund warned policymakers that frontier AI systems like Mythos could elevate cyber threats into “a potential macro-financial shock.” IMF officials also stressed that cyber risks do not respect borders and argued that stronger international cooperation will be essential as increasingly capable AI systems emerge.
The warning is particularly significant for developing economies and smaller institutions, many of which lack the resources available to major banks and technology firms. If advanced AI models can identify vulnerabilities faster than organizations can patch them, the gap between well-funded institutions and weaker targets could widen rapidly. That possibility is already pushing regulators to urge banks and financial organizations to accelerate software patching and strengthen cybersecurity defenses.
Looking ahead, the Mythos rollout may become a defining moment in how governments approach frontier AI oversight. Rather than regulating AI solely around misinformation, copyright, or consumer safety, policymakers are increasingly treating advanced models as technologies with direct implications for economic stability and national resilience.
Whether Mythos ultimately proves transformational or merely serves as an early warning sign, it has already forced regulators, banks, and technology companies into a far more urgent conversation about the future of AI-driven cybersecurity.
