Artificial Intelligence & Machine Learning
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Finance & Banking
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Industry Specific
Officials Warned New Models Could Accelerate Cyber Risks Faster Than Rules
Senior international financial officials warned this week that a new generation of artificial intelligence models from U.S. technology companies could expose structural weaknesses in the global banking system.
See Also: Context Drives Security in Agentic AI Era
Banking and financial leaders raised the concerns this week in Washington amid spring meetings of the International Monetary Fund and World Bank, with finance ministers, central bankers and regulators pointing to advances in large-scale AI systems – including Anthropic’s Mythos model – as a potential stressor on financial stability if deployed or exploited without coordinated oversight.
“We don’t have the ability … to protect the international monetary system against massive cyber risks,” IMF Managing Director Kristalina Georgiva told CBS News’ Face the Nation. “We are very keen to see more attention to the guardrails that are necessary to protect financial stability in a world of AI.”
Other senior officials had similar concerns, describing AI as an immediate operational challenge for financial institutions already grappling with cyber resilience, third-party dependencies and aging infrastructure. European Central Bank president Christine Lagarde said the emergence of Anthropic’s Mythos model demonstrates that systems designed for beneficial applications can also pose significant risks if misused.
“The development we’ve seen with Anthropic and Mythos is a good example of a responsible company that is suddenly thinking: ‘Ah, that could be really good’ – but if it falls in the wrong hands, it could be really bad,” Lagarde told Bloomberg TV.
The European Central Bank is convening a call with Eurozone banks to discuss the ramifications of Mythos on their cybersecurity, reported Bloomberg Thursday. U.S. Secretary of the Treasury Scott Bessent and Federal Reserve Chair Jay Powell reportedly held a similar call with major U.S. banks earlier this month.
Advanced models could be used to identify vulnerabilities, generate exploit code and accelerate cyberattacks against banks and payment infrastructure. Bank of England Governor Andrew Bailey described to the BBC the rapid evolution of AI systems as a “very serious challenge” for regulators. Canada Finance Minister François-Philippe Champagne described the Mythos development as an “unknown unknown” for policymakers.
The warnings reflect growing unease by regulators that models capable of automating vulnerability discovery and simulating complex attack paths could give adversaries new tools to probe systems at scale, compressing the timeline between identifying and exploiting weaknesses.
Major financial institutions are already beginning to grapple with the risks associated with new AI developments. Goldman Sachs CEO David Solomon said the firm is “hyperaware” of potential vulnerabilities tied to emerging AI models, reflecting growing concern within the banking sector about how the technology could be used to identify and exploit system weaknesses.
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