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Generative artificial intelligence and cyber security in central banking

Author

Listed:
  • Iñaki Aldasoro
  • Sebastian Doerr
  • Leonardo Gambacorta
  • Sukhvir Notra
  • Tommaso Oliviero
  • David Whyte

Abstract

Generative artificial intelligence (gen AI) introduces novel opportunities to strengthen central banks' cyber security but also presents new risks. We use data from a unique survey among cyber security experts at major central banks to shed light on these issues. Responses reveal that most central banks have already adopted or plan to adopt gen AI tools in the context of cyber security, as perceived benefits outweigh risks. Experts foresee that AI tools will improve cyber threat detection and reduce response time to cyber attacks. Yet gen AI also increases the risks of social engineering attacks and unauthorised data disclosure. To mitigate these risks and harness the benefits of gen AI, central banks anticipate a need for substantial investments in human capital, especially in staff with expertise in both cyber security and AI programming. Finally, while respondents expect gen AI to automate various tasks, they also expect it to support human experts in other roles, such as oversight of AI models.

Suggested Citation

  • Iñaki Aldasoro & Sebastian Doerr & Leonardo Gambacorta & Sukhvir Notra & Tommaso Oliviero & David Whyte, 2024. "Generative artificial intelligence and cyber security in central banking," BIS Papers, Bank for International Settlements, number 145.
    • Handle: RePEc:bis:bisbps:145
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    References listed on IDEAS

    as
    1. Iñaki Aldasoro & Leonardo Gambacorta & Paolo Giudici & Thomas Leach, 2023. "Operational and Cyber Risks in the Financial Sector," International Journal of Central Banking, International Journal of Central Banking, vol. 19(5), pages 340-402, December.
    2. Aldasoro, Iñaki & Gambacorta, Leonardo & Giudici, Paolo & Leach, Thomas, 2022. "The drivers of cyber risk," Journal of Financial Stability, Elsevier, vol. 60(C).
    3. Sebastian Doerr & Leonardo Gambacorta & Thomas Leach & Bertrand Legros & David Whyte, 2022. "Cyber risk in central banking," BIS Working Papers 1039, Bank for International Settlements.
    4. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law

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