We covered Anthropic's Claude Mythos Preview in detail in our earlier post on Claude Mythos and AI Cybersecurity. The short version: Mythos is a frontier AI model that can autonomously discover and exploit zero-day vulnerabilities in every major operating system and web browser. It found thousands of previously unknown flaws in just weeks of testing - including a 27-year-old bug in OpenBSD and vulnerabilities that survived 5 million automated testing passes. On exploit development benchmarks, Mythos outperformed Anthropic's next-best model by 90x.

What matters for this story is the specific capability that alarmed federal regulators enough to call an emergency meeting. Mythos doesn't just find individual bugs. It chains them. It combined four separate, individually minor flaws into a full exploit that bypassed both browser and operating system sandboxes. It can reverse-engineer compiled software without source code - meaning legacy banking systems, payment processors, and financial platforms built on aging codebases are all within reach.

Anthropic made the unprecedented decision to publish a system safety card for Mythos without making the model available to the public. The company concluded it is too dangerous for general release. That decision - and the capabilities behind it - is exactly what prompted Tuesday's meeting at Treasury headquarters.

We broke down Anthropic's defensive response in our earlier post on Project Glasswing. The program gives 12 launch partners - including Amazon Web Services, Apple, Microsoft, CrowdStrike, and JPMorgan Chase - access to Mythos Preview to find and fix vulnerabilities in the software that the world depends on. Anthropic committed $100 million in usage credits and $4 million in direct donations to open-source security organizations.

Here's the detail that connects Glasswing directly to Tuesday's meeting: JPMorgan Chase is the only financial institution among the 12 launch partners. That means the rest of Wall Street's systemically important banks - Citigroup, Goldman Sachs, Bank of America, Morgan Stanley, Wells Fargo - don't have access to Mythos and haven't been testing their systems against it. Bessent and Powell called those CEOs to Washington specifically because the threat model has changed and most of the banking system hasn't caught up yet.

The dual-use problem is what makes this so urgent for the financial sector. The same AI that finds a vulnerability for a defender to patch can, in different hands, find that same flaw for an attacker to exploit. IBM's research team noted that the meaningful question isn't whether offensive AI tools will reach threat actors - it's whether defenders can patch critical systems before that happens. For banks holding trillions in deposits, that's not an academic concern. It's a systemic one.

The meeting on Tuesday at Treasury headquarters was arranged on short notice. Bessent and Powell assembled the CEOs of every major systemically important bank specifically to discuss the cybersecurity risks raised by Mythos and models like it.

The CEOs in attendance included Citigroup's Jane Fraser, Morgan Stanley's Ted Pick, Bank of America's Brian Moynihan, Wells Fargo's Charlie Scharf, and Goldman Sachs' David Solomon. JPMorgan Chase CEO Jamie Dimon was unable to attend. All of these banks are classified as systemically important by federal regulators.

The meeting's purpose: make sure banks understand what Mythos and comparable models could mean for their exposure to cyberattacks and that they are taking precautions to defend their systems. Bloomberg, which first reported the meeting, described it as another sign that regulators consider AI-driven cyberattacks one of the biggest risks facing the financial industry.

Anthropic had already been in discussions with US government officials about Mythos' offensive and defensive cyber capabilities before the model's limited release. The company is also separately engaged in a legal dispute with the Pentagon, which designated it a supply-chain risk - a classification Anthropic is contesting in court.

The existence of Mythos first became public in March when details were inadvertently stored in a publicly accessible data cache due to human error. Draft materials described it as "by far the most powerful AI model" Anthropic had ever developed and "currently far ahead of any other AI model in cyber capabilities."

We've been saying this to clients in Katy, Cypress, The Woodlands, and across the Houston metro for months: AI is changing cybersecurity faster than most businesses realize. The Mythos situation proves it. Here's why this matters even if you're not a bank.

The exploit window is collapsing. The median time from a vulnerability being disclosed to being actively exploited dropped from 771 days in 2018 to single-digit hours by 2024. By 2025, the majority of exploits were weaponized before they were even publicly disclosed. AI models like Mythos accelerate that timeline further. Your patch management process can't wait for "next maintenance window" anymore.

Binary analysis changes the game for legacy systems. Mythos can analyze compiled software without source code. That means the old accounting server running Windows Server 2016, the legacy manufacturing control system, the ancient line-of-business app nobody wants to touch - all of those are now within reach of AI-assisted attackers. "Nobody would bother hacking us" stopped being true years ago. Now it's dangerously wrong.

Vulnerability chaining makes "low risk" flaws dangerous. Individual bugs that security scanners might flag as "medium" or "low" severity can be chained together by AI into full system compromises. The old approach of only patching critical vulnerabilities first is no longer enough when an AI can combine four minor flaws into root access.

For local institutions like the Katy Area Chamber of Commerce member businesses, the Fort Bend County professional services community, and Houston-area companies in regulated industries, the shift from human-paced attacks to AI-paced attacks is the most significant cybersecurity change in a decade.