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Anthropic’s Mythos cybersecurity capabilities require urgent international cooperation, AI godfather Yoshua Bengio says

11 0
17.04.2026

Anthropic’s Mythos cybersecurity capabilities require urgent international cooperation, ‘AI Godfather’ Yoshua Bengio says

Yoshua Bengio, a computer scientist considered one of the “godfathers of AI” for his help in pioneering the deep learning systems that underpin today’s AI models, has been warning about the risks of the technology he helped to create for years. Now, he says, new models like Anthropic’s Mythos demonstrate why international institutions urgently need to work together to address AI’s potential dangers.

Anthropic’s newest model, Claude Mythos, is said to represent a major step forward in cybersecurity, identifying thousands of previously unknown “zero-day” vulnerabilities. Zero-days are bugs in software unknown to the programmers who have created that software and that could enable hackers to bypass security controls and potentially steal vital data. However, the company has said that because these capabilities are dual-use—and could enable sophisticated cyberattacks capable of disrupting critical global infrastructure—it is only releasing the system to a small group of firms to give them a head start in securing vital systems.

That initial group of companies Anthropic chose to share Mythos with were all American-based technology firms whose software underpins a lot of the world’s critical systems. The company has also briefed the U.S. government on the technology and is in the process of beginning to provide some U.S. government departments and agencies with access to the model.

While some have praised the company’s caution in opting for a highly circumscribed release of Mythos, the decision has raised uncomfortable questions about the concentration of power in the hands of just a single U.S. company. Anthropic alone decided with whom it would share Mythos. That has left many businesses and governments excluded from that initial cohort begging for access so they too can safeguard their systems. The situation has hammered home to many why responsibility for AI governance needs to be shared much more broadly and internationally.

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