WASHINGTON —At a time when credit unions already face serious security threats, a powerful new artificial intelligence model developed by Anthropic is raising urgent concerns among cybersecurity experts, policymakers and financial institutions, as early testing suggests it could dramatically accelerate both the discovery and exploitation of software vulnerabilities and create significant data breach threats—prompting high-level emergency discussions in Washington among top U.S. economic and security officials.
Anthropic has limited access to its new system, Claude Mythos Preview, citing fears it could be used to conduct sophisticated cyberattacks at scale.
Those concerns escalated this week with an emergency meeting in Washington convened by Scott Bessent and Jerome Powell, according to reporting from Reuters and The Wall Street Journal. The meeting brought together senior officials from the Treasury Department, the Federal Reserve, intelligence agencies and cybersecurity regulators to assess the potential systemic risks posed by advanced AI models capable of autonomous cyber operations.
Officials focused in particular on the potential threat to the U.S. financial system, including banks, payment networks and credit unions, sources familiar with the discussions told multiple news organizations.
Emergency Meeting
During the April 7 meeting, convened as part of unannounced emergency meeting at Treasury headquarters in Washington with the CEOs of the country’s most “systemically important” financial institutions, according to Bloomberg, those on hand included Citigroup’s Jane Fraser, Morgan Stanley’s Ted Pick, Bank of America’s Brian Moynihan, Wells Fargo’s Charlie Scharf and Goldman Sachs’s David Solomon. JPMorgan’s Jamie Dimon was unable to attend.
All the banks represented are classified as globally systemically important, meaning a breach of “any one of them could send shockwaves through the international financial system.
Anthropic’s Mythos and how it’s different,” according to MSNBC.
“While Mythos wasn’t designed specifically for hacking, its advanced coding and reasoning capabilities have given it something far more alarming: the ability to find and exploit software vulnerabilities that human security researchers missed for decades,” MSNBC reported.
‘Thousands of Previously Unknown Vulnerabilities’
According to Anthropic’s security team, Mythos has already identified thousands of previously unknown, aka “zero-day,” vulnerabilities across every major operating system and web browser.
Among the discoveries: a flaw in OpenBSD — widely regarded as one of the most secure operating systems available — that had gone undetected for 27 years, and a bug in the video processor FFmpeg that survived five-million automated security tests without being caught, per Quartz.
What makes Mythos especially worrying to regulators is not just that it can find these flaws, but that
Model Capabilities Spark Alarm
“We’ve regularly seen it chain vulnerabilities together,” Logan Graham, who leads offensive cyber research at Anthropic, told NBC News, describing the model’s ability to autonomously execute complex hacking tasks.
That capability has raised fears among policymakers that such tools could be used to target critical infrastructure, including financial institutions that rely on complex, interconnected technology systems, according to multiple reports.
Washington Response Intensifies
The emergency meeting led by Bessent and Powell follows a series of briefings Anthropic has held with federal agencies, including the Cybersecurity and Infrastructure Security Agency and the National Institute of Standards and Technology, on the model’s capabilities.
According to Reuters, participants in the Washington meeting discussed whether existing regulatory frameworks are sufficient to address AI-driven cyber threats and whether additional safeguards—or restrictions on advanced AI deployment—may be necessary.
The Federal Reserve is said to be particularly focused on potential risks to payment systems and financial stability, while Treasury officials are examining broader national security implications, including the possibility that adversarial actors could gain access to similar technology, multiple media outlets reported.
Access Restricted to Small Group
Rather than releasing the model publicly, Anthropic has restricted access to a small group of major technology companies, including Microsoft, Nvidia and Cisco, under an initiative called Project Glasswing. The program provides more than $100 million in usage credits to allow companies to identify and patch vulnerabilities before broader exposure.
Anthropic said the goal is to give defenders “a durable advantage in the coming AI-driven era of cybersecurity,” but acknowledged the risks of wider deployment remain significant.
Warning Over ‘Huge Ramifications’
Credit unions will want to pay special attention as cybersecurity experts say the technology represents a potential inflection point.
“It’s all very much real,” Katie Moussouris, CEO of Luta Security, told NBC News. “We are definitely going to see some huge ramifications.”
Analysts at firms such as Gartner and Forrester have warned that AI systems capable of autonomous vulnerability discovery could drastically shorten the time between identifying and exploiting software flaws.
However, some researchers have urged caution. Heidy Khlaaf, chief AI scientist at the AI Now Institute, said the lack of detailed public data makes it difficult to independently verify Anthropic’s claims.
Implications for Credit Unions
For credit unions and other financial institutions, the threat is both immediate and structural.
Unlike traditional cyber threats, analysts are saying models like Mythos could enable attackers to:
- Rapidly discover unknown (“zero-day”) vulnerabilities in core systems
- Automate multi-step attacks across interconnected platforms
- Scale sophisticated attacks with minimal human involvement
- Continuously adapt tactics in real time
Financial institutions are especially vulnerable due to their reliance on legacy systems, third-party vendors and real-time transaction infrastructure, analysts cautioned.
What Should be Done
Security experts and regulators point to several immediate actions:
- Accelerate vulnerability management: Reduce patch timelines and prioritize critical exposures
- Strengthen vendor oversight: Require rapid disclosure and remediation standards from fintech partners
- Adopt zero-trust architectures: Limit lateral movement within networks
- Deploy AI-driven defenses: Use machine learning for anomaly detection and threat response
- Enhance incident response: Prepare for faster, more complex attack scenarios
- Engage regulators: Monitor guidance from NCUA, Treasury, the Federal Reserve and CISA
A Turning Point for Cybersecurity
Officials who participated in the Washington meeting described the moment as a potential turning point in cyber risk, according to people familiar with the discussions.
“This is not a theoretical threat anymore,” one official told Reuters. “We are looking at tools that could fundamentally change the balance between attackers and defenders.”
Anthropic’s decision to restrict the model’s release underscores that concern. It marks the first time since 2019 that a major AI developer has withheld a system primarily due to misuse risks.
The Look Forward
For credit union leaders, the emergence of systems like Claude Mythos Preview signals a need to rethink cybersecurity strategy in an AI-driven environment.
As Treasury, the Federal Reserve and other agencies continue to evaluate the risks—and as further meetings in Washington are expected—the consensus is sharpening: financial institutions must prepare now for a new era in which cyber threats can be automated, accelerated and scaled by artificial intelligence.
