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A Mythos moment? Frontier AI and cyber risk

Author

Listed:
  • Iñaki Aldasoro
  • Raphael Auer
  • Jon Frost
  • Fernando Perez-Cruz

Abstract

Frontier artificial intelligence (AI) models increase the speed, scale and complexity of cyber attacks, and they also strengthen cyber defence. But the costs are asymmetric and may favour attackers. The medium-term impact on systemic cyber risk depends on the various actors' access to the most advanced tools, on compute power to run the tools and on economic incentives. Given the pace of recent developments, swift adoption of frontier AI models to review code bases and fix vulnerabilities is essential. International coordination can support authorities in addressing these issues.

Suggested Citation

  • Iñaki Aldasoro & Raphael Auer & Jon Frost & Fernando Perez-Cruz, 2026. "A Mythos moment? Frontier AI and cyber risk," BIS Bulletins 129, Bank for International Settlements.
    • Handle: RePEc:bis:bisblt:129
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    References listed on IDEAS

    as
    1. Iñaki Aldasoro & Sebastian Doerr & Leonardo Gambacorta & Sukhvir Notra & Tommaso Oliviero & David Whyte, 2025. "Generative Artificial Intelligence and Cyber Security in Central Banking," Journal of Financial Regulation, Oxford University Press, vol. 11(1), pages 119-128.
    2. Aldasoro, I. & Gambacorta, L. & Korinek, A. & Shreeti, V. & Stein, M., 2025. "Intelligent financial system: How AI is transforming finance," Journal of Financial Stability, Elsevier, vol. 81(C).
    Full references (including those not matched with items on IDEAS)

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