Trump administration officials, including Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell, have reportedly encouraged major U.S. banks to test Anthropic's new AI model, Mythos, for cybersecurity vulnerabilities. The directive was delivered during a recent meeting with bank executives, where the officials urged the financial sector to utilize the tool to identify potential security flaws. While JPMorgan Chase was the first institution confirmed as a partner with initial access, reports indicate that Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are also currently testing the model. Anthropic officially announced the release of Mythos earlier this week but stated it would restrict access initially. The company cited the model's exceptional capability in detecting security vulnerabilities as the primary reason for the limitations. Although Mythos was not trained specifically for cybersecurity, its performance in identifying weaknesses is so advanced that it poses unique challenges regarding distribution. Some industry observers have questioned whether the official restriction is a strategic move for enterprise sales or merely an exaggeration, yet the government's interest highlights the tool's perceived value. The situation presents a notable irony given the current legal conflict between Anthropic and the Trump administration. Anthropic is currently engaged in a court battle regarding the Department of Defense's designation of the company as a supply-chain risk. This classification followed the collapse of negotiations over the company's attempts to limit how the government could deploy its AI models. Consequently, while the administration has publicly framed the company as a risk, high-ranking financial regulators are simultaneously encouraging private sector use of its technology to enhance national security infrastructure. Parallel concerns are emerging in other jurisdictions. The Financial Times reported that financial regulators in the United Kingdom are also discussing the risks associated with Mythos. The U.K. officials are evaluating the implications of such powerful AI tools within the financial sector, mirroring the debate occurring in the United States. As banks integrate these advanced detection methods, the broader conversation around AI safety, regulatory oversight, and the dual-use nature of cybersecurity tools is expected to intensify. The convergence of government promotion and legal friction underscores the complex role AI models like Mythos play in modern financial stability and national security strategies.