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Artificial intelligence startup Anthropic is preparing to discuss potential cyber vulnerabilities in the global financial system linked to its latest AI model, Mythos, with members of the Financial Stability Board (FSB), according to a report by the Financial Times published Monday. Sources familiar with the matter said the discussions will focus on how advanced AI systems could expose weaknesses in banking infrastructure, digital finance platforms, and global cybersecurity defenses.
The reported meeting highlights growing concerns among regulators and financial institutions over the rapid advancement of artificial intelligence and its possible impact on financial stability. As AI models become more powerful, experts warn they could be exploited for sophisticated cyberattacks, financial fraud, automated hacking, and large-scale data manipulation.
Anthropic, one of the leading AI companies competing in the fast-growing generative AI sector, has been increasingly involved in conversations surrounding AI safety, governance, and responsible development. Its Mythos model is reportedly capable of advanced reasoning and automation, raising questions about how emerging AI technologies could influence sensitive industries such as banking, insurance, and digital payments.
The Financial Stability Board, an international body that monitors and makes recommendations about the global financial system, has been paying closer attention to cybersecurity threats connected to artificial intelligence. Regulators worldwide are working to balance innovation in AI with safeguards designed to protect critical infrastructure and financial markets from emerging digital risks.
Reuters stated it could not immediately verify the Financial Times report. Neither Anthropic nor the Financial Stability Board publicly confirmed the planned discussions at the time of publication.
The development reflects the broader global push for stronger AI regulation as governments, financial institutions, and technology companies seek to address the security and economic implications of increasingly advanced artificial intelligence systems.
