Paper Type
ERF
Abstract
Phishing remains a major cybersecurity threat, yet existing training often fails to drive behavioral change. This study examines employees’ experiences with current cybersecurity training and their attitudes toward AI-based solutions. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Protection Motivation Theory (PMT), we design a survey to investigate these factors. Using data from 192 employees, results show that while current training is informative, it lacks engagement and effectiveness. Employees express a strong interest in AI-based training; however, adoption is constrained by privacy concerns and limited organizational support, highlighting key tensions between perceived benefits and risks.
Paper Number
1597
Recommended Citation
Ahmed, Massi; Yang, Xingwei; Zhou, Wendi; Kargar, Mehdi; and Zihayat, Morteza, "Cybersecurity Training via AI: Examining Employee Perceptions, Trust, and Readiness for AI-Enhanced Learning" (2026). AMCIS 2026 Proceedings. 27.
https://aisel.aisnet.org/amcis2026/sig_sec/sig_sec/27
Cybersecurity Training via AI: Examining Employee Perceptions, Trust, and Readiness for AI-Enhanced Learning
Phishing remains a major cybersecurity threat, yet existing training often fails to drive behavioral change. This study examines employees’ experiences with current cybersecurity training and their attitudes toward AI-based solutions. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Protection Motivation Theory (PMT), we design a survey to investigate these factors. Using data from 192 employees, results show that while current training is informative, it lacks engagement and effectiveness. Employees express a strong interest in AI-based training; however, adoption is constrained by privacy concerns and limited organizational support, highlighting key tensions between perceived benefits and risks.
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