White House Tells Banks to Use Anthropic to Spot Vulnerabilities

America’s biggest banks are reportedly beginning in-house tests of Anthropic’s Mythos artificial intelligence model.

That’s according to a report Friday (April 10) from Bloomberg News, which points out that these tests are happening as the White House is encouraging banks to use Mythos to identify vulnerabilities.

JPMorgan Chase, Goldman Sachs, Citigroup, Bank of America and Morgan Stanley are among the banks testing the tool internally, the report added, citing sources familiar with the matter.

These sources added that U.S. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell had held a meeting last week with Wall Street executives, warning them that they should take the Mythos model seriously and use it to uncover holes in their defenses.

A Treasury spokesperson told PYMNTS last week that the Trump administration plans to hold several more meetings with regulators and institutions on an ongoing basis, addressing AI and other issues.

“President Trump and the Administration are continuing to engage on AI security in a thoughtful manner,” the spokesperson said via email.

“The White House has been leading an ongoing core interagency taskforce, which includes the Treasury, that has been proactively engaging across the government and industry to execute the first phases of a plan to ensure the United States and Americans are protected.”

Anthropic last week debuted a program called Project Glasswing that will allow select partners to gain early access to Claude Mythos.

As covered here, this model is being positioned especially for defensive cybersecurity work, and the initiative is designed to let partners to identify vulnerabilities and shore up systems before threats can be exploited.

In related news, PYMNTS last week covered the launch of Anthropic’s Claude Managed Agents, an offering that allows enterprises to deploy AI directly within its platform. With this roll out, the company is targeting a problem that companies have spent the last year attempting to solve: getting AI agents to reliably perform within production environments.

“That’s proven harder than expected,” PYMNTS wrote. “Enterprises experimenting with agents have run into a familiar set of challenges, from maintaining context across sessions to coordinating multistep workflows, integrating with internal systems like CRMs and databases and staying within strict security and compliance guardrails.”

Most companies have not developed that infrastructure on their own, that report added. Instead, they’ve reached out to a growing category of startups offering orchestration layers, workflow engines, and agent management tools, an area that Claude Managed Agents is now tackling more directly.

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