Data Breaches: Fight AI with AI

AI-driven data breaches are escalating as personalized phishing, deepfakes, and disinformation proliferate. While research has focused on post-breach responses, the defensive capabilities firms need remain unclear. This study examines how companies can build AI-powered dynamic capabilities to anticipate, withstand, and counter emerging, unpredictable AI-generated threats.

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Publication Details

Journal
California Management Review
Published
2025-10-18
DOI
https://doi.org/10.1177/00081256251377346
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Data Breaches: Fight AI with AI

Wai Jin Lee, Shahriar Akter, Mohammad Rajib Uddin, Shlomo Y. Tarba
California Management Review
Adversarial Robustness in Machine Learning
article

Data Breaches: Fight AI with AI

Wai Jin Lee, Shahriar Akter, Mohammad Rajib Uddin, Shlomo Y. Tarba
article en

Abstract

AI-driven data breaches are escalating as personalized phishing, deepfakes, and disinformation proliferate. While research has focused on post-breach responses, the defensive capabilities firms need remain unclear. This study examines how companies can build AI-powered dynamic capabilities to anticipate, withstand, and counter emerging, unpredictable AI-generated threats.

California Management ReviewVol. 68(1)
University of Wollongong (AU), University of Birmingham (GB)
Openalex Percentile: Top 84%
Adversarial Robustness in Machine Learning
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