US Treasury and Fed Meet Banking Leaders Over Anthropic AI Risks
When Federal Reserve Chair Jerome Powell and Treasury Secretary Scott Bessent summon the titans of the banking world to a closed-door meeting in Washington, D.C., the ripples are felt far beyond the capital. For those of us here in New York City, where the heartbeat of global finance pulses through the skyscrapers of Midtown and the trading floors of Lower Manhattan, this isn’t just another regulatory huddle. The urgency surrounding Anthropic’s new “Mythos” model suggests a shift in the cyber-threat landscape that could directly impact the digital vaults of the institutions we rely on every day. Whether you’re managing a portfolio near Wall Street or simply keeping your savings in a local branch, the conversation shifting from “AI efficiency” to “systemic cyber risk” is a signal that the stakes have changed.
The Mythos Model and the New Frontier of Systemic Risk
The core of the anxiety stems from a new AI model developed by Anthropic called Mythos. Unlike the widely known Claude, Mythos has been rolled out in a limited capacity. The reason for this caution is stark: the model possesses advanced capabilities that have already uncovered vulnerabilities in major web browsers and operating systems. When a tool can identify holes in the very infrastructure of the internet, it becomes a double-edged sword. Even as Anthropic is attempting to employ these capabilities for defense through a collaborative effort known as Project Glasswing—partnering with tech giants like Nvidia, Apple, and Amazon—the fear is that these capabilities will eventually proliferate to terrible actors.
This is why Powell and Bessent called an urgent meeting this past Tuesday. The gathering took place at the Treasury Department’s headquarters, coinciding with a Financial Services Forum board meeting. The attendees list reads like a Who’s Who of the American financial system: Bank of America’s Brian Moynihan, Citigroup’s Jane Fraser, Goldman Sachs’ David Solomon, Morgan Stanley’s Ted Pick, and Wells Fargo’s Charlie Scharf. Notably, JPMorgan’s Jamie Dimon was the only major banking CEO unable to attend, but the collective presence of the others underscores a shared concern. The Trump administration is treating these AI-driven vulnerabilities not just as IT glitches, but as potential threats to the foundation of the U.S. Financial system.
From Federal Directives to Local Impact
For New Yorkers, the concentration of these institutions means the city is the primary staging ground for how these risks are managed. The Treasury Department is actively pushing financial institutions to prepare for these new security threats, coordinating through a White House-led interagency taskforce. This isn’t just about preventing a single hack. it’s about preventing a systemic collapse where an AI-driven exploit could trigger a cascade of failures across interconnected banking networks.
The historical parallel here is the shift from traditional perimeter security to “zero trust” architectures. In the past, banks focused on building higher walls. Though, if Mythos can find vulnerabilities in the operating systems themselves, the walls are effectively bypassed. This necessitates a deeper dive into modern AI defense strategies to ensure that the digital infrastructure supporting the city’s economy remains resilient. The reality is that the rate of AI progress is moving faster than traditional regulatory cycles can keep up with, leaving a gap that only rapid, private-sector collaboration can fill.
Navigating the AI Security Shift in New York City
Given my background in analyzing the intersection of high finance and emerging technology, this “AI anxiety” will trickle down from the C-suite to the operational level of every business in the metro area. If you are operating a business or managing significant assets in New York, the risks posed by models like Mythos imply you can no longer rely on off-the-shelf security software. You need a strategy that accounts for the “offensive” capabilities of generative AI.
If this trend impacts your operations or your peace of mind here in the city, you should glance for specific types of local expertise to fortify your position. I recommend seeking out the following professional archetypes:
- AI-Specialized Cybersecurity Consultants
- Look for firms that specifically offer “Red Teaming” services using LLMs. You want consultants who don’t just run standard scans but actively simulate attacks using AI to find the same vulnerabilities that Mythos identifies. Ensure they have experience with the specific operating systems and browsers your business relies on.
- Institutional Risk Management Strategists
- These professionals help bridge the gap between technical vulnerabilities and financial impact. Seek out strategists who specialize in “systemic risk” and have a track record of working with the regulatory frameworks of the Federal Reserve or the Treasury Department. They should be able to help you create a contingency plan for a systemic digital outage.
- Digital Asset Custody Experts
- As AI makes traditional digital entry points more vulnerable, the way we store and access sensitive financial data must evolve. Look for experts who specialize in hardware-based security and air-gapped systems that are physically isolated from the vulnerabilities of common web browsers and operating systems.
The goal isn’t to panic, but to move from a state of passive reliance to active defense. The meeting between Powell and Bessent was a wake-up call for the biggest banks in the world; it should be a wake-up call for every business owner and investor in the city as well.