Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an emergency meeting with the chief executives of major Wall Street banks on April 10, 2026, to address cybersecurity vulnerabilities exposed by Anthropic's latest AI model, Claude Mythos. The meeting included leadership from Goldman Sachs, Bank of America, Citigroup, Morgan Stanley, and Wells Fargo, representing the core of the American financial system. The urgency of the gathering reflected unprecedented concerns about artificial intelligence capabilities that surpass existing cybersecurity defenses.
Claude Mythos demonstrated the ability to identify and exploit software vulnerabilities with unprecedented efficiency, performing at a level that exceeds most human cybersecurity experts. The model's capabilities represent a fundamental shift in the threat landscape, prompting comparisons to the Y2K scenario that dominated late-1990s technology planning.
The Mythos Capability Gap
Anthropic's Claude Mythos achieved capabilities that surprised even its creators, demonstrating the ability to discover software vulnerabilities that security teams had missed for years. The model identified vulnerabilities in systems that had undergone multiple security audits, including some dating back twenty-seven years. The depth and breadth of the model's vulnerability detection far exceeded expectations.
Security researchers who evaluated Mythos described its capabilities as transformative, noting that the model could autonomously identify exploitation paths that would take human teams months to discover. The speed at which Mythos could analyze complex codebases and identify weaknesses fundamentally changed the calculus of cybersecurity defense.
The decision to restrict Mythos's public release marked the first time Anthropic had prevented a product from reaching users due to safety concerns. The company's typical approach involves iterative deployment with safety measures, but Mythos's capabilities necessitated more conservative handling. This represents a significant departure from Anthropic's normal product release cadence.
Anthropic researchers found that Mythos could identify vulnerabilities in critical infrastructure, including financial systems, power grids, and telecommunications networks. The comprehensive vulnerability assessment revealed systemic weaknesses that had gone undetected despite years of conventional security testing.
Financial System Vulnerability
The financial sector's exposure to AI-driven vulnerability discovery prompted immediate concern from regulatory leadership. Banks processes trillions of dollars daily through systems that were designed before AI reached current capability levels. The meeting addressed both immediate risks and longer-term defensive strategies.
The $2 trillion tech stock wipeout that accompanied news of the vulnerability assessment reflected market recognition of the systemic implications. Investors sold technology stocks broadly as the implications of AI-driven vulnerability discovery became clear. The market reaction demonstrated how deeply the financial system depends on technology infrastructure that may now be at risk.
Banks present particularly attractive targets for AI-driven cyberattacks due to the value of financial data and the critical role banks play in economic infrastructure. A successful exploit could enable theft, manipulation of financial records, or disruption of payment systems. The consequences of such an attack would extend far beyond any individual institution.
Security experts who briefed congressional staff described the situation as requiring immediate action, comparing the urgency to preparations for Y2K. The comparison reflects the systemic nature of the vulnerability and the need for coordinated defensive measures across the technology ecosystem.
Regulatory and Legal Context
The meeting occurred against a backdrop of ongoing regulatory scrutiny of AI companies, with Anthropic specifically designated as a supply chain risk by the U.S. government. Anthropic is contesting this designation in court, creating an unusual dynamic where the company is simultaneously under regulatory scrutiny and producing technology that regulators fear.
Federal banking regulators have been developing guidance for financial institutions on AI cybersecurity risks, but the rapid advancement of AI capabilities has outpaced policy development. The current regulatory framework was not designed to address AI systems that can autonomously discover and exploit vulnerabilities.
The Treasury Department and Federal Reserve jointly convened the meeting, reflecting the cross-cutting nature of the risks involved. Financial stability depends on technology infrastructure that may now be vulnerable to AI-driven attacks that traditional defenses cannot address.
International coordination on AI cybersecurity remains limited, even as the risks clearly cross borders. Financial institutions operate globally, and vulnerabilities in systems used internationally could affect the stability of the global financial system.
Market Response
The technology sector experienced significant value destruction as investors processed implications of the Mythos capabilities. Companies with significant software infrastructure faced the prospect of needing to fundamentally reconsider security architectures to address AI-driven threat actors.
Major technology companies saw their stock prices decline as the market priced in potential costs of addressing newly discovered vulnerabilities. The sell-off reflected uncertainty about which systems might be affected and how much remediation would cost.
Some technology stocks recovered partially as investors absorbed more information, but the incident highlighted the persistent risk that AI capabilities could present to technology-dependent businesses. The market's initial reaction demonstrated how quickly AI-related news can affect valuations.
Cybersecurity companies experienced stock price increases as investors anticipated increased spending on defensive technologies. The shift in investor sentiment toward security providers reflects expectations that organizations will increase investment in protecting against AI-driven threats.
Defensive Initiatives
Anthropic responded to the vulnerability findings by launching Project Glasswing, a defensive partnership with major technology and financial companies. The initiative provides credits worth up to $100 million for organizations to use Claude Mythos for defensive vulnerability patching.
Partnership participants include Amazon, Apple, Microsoft, Google, Nvidia, and JPMorgan Chase, representing the largest technology and financial companies in the world. The collaborative approach recognizes that no single organization can address the scale of vulnerability discovery independently.
The credits allow organizations to use Mythos's capabilities to identify and fix vulnerabilities in their systems before malicious actors can exploit them. The defensive use of capabilities that posed such significant risks represents a potential silver lining to the concerning technology development.
Anthropic is working with government agencies to establish frameworks for responsible disclosure of AI-discovered vulnerabilities. The coordination aims to ensure that vulnerabilities are patched rather than exploited while balancing transparency with security.
The incident has accelerated discussions about AI safety and security across the technology industry. Companies that had been cautious about AI deployment are reconsidering their approaches in light of the demonstration that AI capabilities can outpace defensive measures.