中央银行的生成人工智能和网络安全

IF 2 Q1 LAW
Iñaki Aldasoro, Sebastian Doerr, Leonardo Gambacorta, Sukhvir Notra, Tommaso Oliviero, David Whyte
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引用次数: 0

摘要

生成式人工智能(gen AI)为加强中央银行的网络安全带来了新的机遇,但也带来了新的风险。本文利用对主要中央银行的网络安全专家进行的一项独特调查的数据来揭示这些问题。调查结果显示,大多数中央银行已经采用或计划在网络安全方面采用人工智能工具,因为他们认为人工智能工具的好处大于风险。专家们预计,人工智能工具将提高网络威胁检测能力,缩短对网络攻击的响应时间。然而,新一代人工智能也增加了社交工程攻击和未经授权的数据泄露的风险。为了降低这些风险并利用 gen AI 的优势,中央银行预计需要在人力资本方面进行大量投资,特别是在同时具备网络安全和 AI 编程专业知识的员工方面。最后,虽然受访者希望 gen AI 能够实现各种任务的自动化,但他们也希望 gen AI 能够支持人类专家发挥其他作用,如监督 AI 模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative Artificial Intelligence and Cyber Security in Central Banking
Generative artificial intelligence (gen AI) introduces novel opportunities to strengthen central banks’ cyber security but also presents new risks. This article uses 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 unauthorized 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.
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来源期刊
CiteScore
5.60
自引率
3.80%
发文量
12
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