• Anthropic is set to brief the Financial Stability Board on cyber risks linked to its Mythos AI model
• Bank of England Governor Andrew Bailey requested the discussions with global regulators
• Mythos is designed to identify longstanding vulnerabilities in software and infrastructure
• Regulators fear the technology could accelerate sophisticated cyberattacks against banks
• Legacy banking systems are seen as particularly exposed to AI-enabled threats
• Financial authorities are increasingly treating AI risk as a systemic stability issue
• Experts warn AI governance and operational resilience frameworks may struggle to keep pace 

Artificial intelligence company Anthropic is preparing to brief the Financial Stability Board on potentially dangerous cyber vulnerabilities uncovered by its latest AI model, Mythos, intensifying concerns among regulators and banking leaders over the growing threat posed by advanced AI systems to the global financial sector.

According to reports from the Financial Times, the briefing follows a request from Bank of England Governor Andrew Bailey, who currently chairs the Financial Stability Board, the international body responsible for coordinating financial regulation across G20 economies.

The discussions are expected to involve finance ministries and central banks as regulators attempt to understand the implications of increasingly sophisticated AI systems capable of identifying weaknesses in digital infrastructure, software and web browsers that underpin the global banking system.

Anthropic, best known as the developer of the Claude chatbot, announced Mythos Preview last month, describing it as a cybersecurity-focused AI model capable of detecting vulnerabilities that have existed within systems for decades. The company has not yet released the model publicly.

While the technology has been positioned as a tool to strengthen cyber defenses, experts have warned that it could also provide malicious actors with unprecedented capabilities to identify exploitable weaknesses across critical infrastructure.

The concerns are particularly acute for banks, insurers and asset managers that continue to rely heavily on legacy technology systems, many of which were not designed to withstand AI-enhanced cyber threats.

An FSB spokesperson reportedly welcomed engagement with Anthropic and other technology firms on “emerging and frontier risks to global financial stability,” signaling growing recognition among regulators that AI risk management is becoming inseparable from broader financial stability oversight.

Bailey has emerged as one of the most vocal central bankers warning about the systemic implications of advanced AI models.

Speaking at an event at Columbia University in New York last month, he suggested that developments surrounding Mythos represented a potentially transformative moment in cyber risk.

“It would be reasonable to think that the events in the Gulf are the most recent challenge to us in this world, until you wake up to find that Anthropic may have found a way to crack the whole cyber risk world open,” Bailey said.

He added that regulators are increasingly focused on whether the new generation of AI systems can identify vulnerabilities in other platforms that could then be exploited for cyberattack purposes.

“The issue is - to what extent is this new version of the product going to be able to, in a sense, identify vulnerabilities in other systems which can be exploited for cyberattack purposes,” Bailey said.

The growing anxiety surrounding AI-enabled cyber risk comes at a time when financial regulators globally are already warning institutions about mounting operational resilience threats tied to geopolitical instability, cloud concentration risk and increasing dependency on third-party technology providers.

Industry analysts say the Mythos development could accelerate calls for stricter AI governance rules, enhanced cybersecurity stress testing and more aggressive oversight of how financial firms deploy generative AI technologies within core operations.

Some cybersecurity specialists have also warned that powerful AI systems may rapidly outpace the ability of regulators and financial institutions to fully understand the scale of the threat, particularly if malicious actors gain access to advanced vulnerability detection capabilities.

For the banking industry, the prospect of AI systems capable of exposing long-hidden weaknesses presents both an opportunity and a threat.

Used responsibly, such technology could strengthen cyber resilience and risk management. In the wrong hands, however, it could dramatically increase the scale, sophistication and speed of cyberattacks targeting global financial infrastructure.