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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Exploring Phishing Threats through QR Codes in Naturalistic Settings

Filipo Sharevski (DePaul University), Mattia Mossano, Maxime Fabian Veit, Gunther Schiefer, Melanie Volkamer (Karlsruhe Institute of Technology)

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Understanding Influences on SMS Phishing Detection: User Behavior, Demographics,...

Daniel Timko (California State University San Marcos), Daniel Hernandez Castillo (California State University San Marcos), Muhammad Lutfor Rahman (California State University San Marcos)

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Work in Progress: A Comparative Long-Term Study of Fallback...

Philipp Markert, Maximilian Golla (Ruhr University Bochum); Elizabeth Stobert (National Research Council of Canada); Markus Dürmuth (Ruhr University Bochum)

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