Abstract: This teaching case uses a deepfake-enabled executive impersonation scam to help analyze cybersecurity failures and to design verification controls for communication environments. Pan-Asia Trading Ltd. is a fictional mid-sized firm that regularly conducts high-value monetary transfers. In early 2024, senior finance officer Grace Lee joins what appears to be a confidential video call with her CFO. However, the convincing face and voice are an advanced deepfake. The case examines failures in identity, authentication, and authorization, the role of AI-enabled deception, and the governance and privacy trade-offs faced by organizations. The case is designed for undergraduate and graduate courses in cybersecurity, information assurance, and MIS governance and supports experiential learning through realistic analysis of control gaps and AI-driven impersonation. The case emphasizes experiential learning around realistic AI-driven fraud scenarios and implementable verification controls.

Keywords: Cybersecurity, Generative AI, Social engineering, Teaching case

Download This Article: JISE2026v37n2pp243-251.pdf

Recommended Citation: Ampel, B. M. (2026). Teaching Case: Seeing Is Not Believing: A Deepfake Video Call Scam at Pan-Asia Trading. Journal of Information Systems Education, 37(2), 243-251. https://doi.org/10.62273/CVGA1145