数据泄露:以AI对抗AI

IF 7.3 2区 管理学 Q1 BUSINESS
Mohammad Rajib Uddin, Shahriar Akter, Wai Jin (Thomas) Lee, Shlomo Y. Tarba
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引用次数: 0

摘要

人工智能(AI)驱动的数据泄露已经成为企业面临的最大挑战之一。新的威胁每天都以个性化鱼叉式网络钓鱼信息、欺骗性电子邮件、深度虚假语音或视频以及虚假信息的形式出现。到目前为止,这一领域的研究主要集中在数据泄露后应该采取什么措施;然而,目前还不清楚需要什么样的能力来保护一家公司。为了应对未知和不可知的威胁,本研究展示了企业如何开发人工智能驱动的动态能力,以应对人工智能产生的下一级威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Breaches: Fight AI with AI
Artificial intelligence (AI)-driven data breaches have emerged as one of the biggest challenges for corporations. New threats emerge daily in the form of personalized spear phishing messages, deceptive emails, deepfake voice or video, and disinformation. Research in this domain has so far focused primarily on what measures should be taken after a data breach; however, it remains unclear what capabilities are required to defend a company. To address the unknown and unknowable threats, this study presents how firms can develop AI-powered dynamic capabilities to tackle the next level of AI-generated threats.
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来源期刊
CiteScore
18.40
自引率
3.00%
发文量
23
期刊介绍: California Management Review (CMR) serves as a vital link between academia and management practice, offering leading-edge research with practical applications. Edited at UC Berkeley’s Haas School of Business, CMR covers a wide range of management topics, including innovation, strategy, sustainable practices, and human resources. CMR ranks among the top management journals globally, distributing articles through outlets like Harvard Business School Publishing and SAGE Publishing. Focused on bridging academia and practice, CMR ensures that all articles are based on rigorous academic research while providing actionable insights for managers. In addition to regular issues, CMR publishes special issues and sections on relevant topics, often guest-edited by leading faculty. Recent special issues have covered dynamic capabilities, city innovation, big data, and intellectual property management.
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