Rishika Thorat (Purdue University), Tatiana Ringenberg (Purdue University)

AI-assisted cybersecurity policy development has the potential to reduce organizational burdens while improving compliance. This study examines how cybersecurity students and professionals develop ISO29147-aligned vulnerability disclosure policies (VDPs) with and without AI. Through this project, we will evaluate compliance, ethical accountability, and transparency of the policies through the lens of Kaspersky’s ethical principles.

Both students and professionals will produce policies manually and with AI, reflecting on utility and reliability. We will analyze resulting policies, prompts, and reflections through regulatory mapping, rubric-based evaluations, and thematic analysis. This project aims to inform educational strategies and industry best practices for integrating AI in cybersecurity policy development, focusing on expertise, collaboration, and ethical considerations.

We invite feedback from the Usable Security and Privacy community on participant recruitment, evaluation criteria, ethical frameworks, and ways to maximize the study’s impact on academia and industry.

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Linxi Jiang (The Ohio State University), Xin Jin (The Ohio State University), Zhiqiang Lin (The Ohio State University)

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Chi-en Amy Tai (University of Waterloo), Urs Hengartner (University of Waterloo), Alexander Wong (University of Waterloo)

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Ryusei Ishikawa, Soramichi Akiyama, and Tetsutaro Uehara (Ritsumeikan University)

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