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.

View More Papers

Lend Me Your Beam: Privacy Implications of Plaintext Beamforming...

Rui Xiao (Zhejiang University), Xiankai Chen (Zhejiang University), Yinghui He (Nanyang Technological University), Jun Han (KAIST), Jinsong Han (Zhejiang University)

Read More

When Security Meets Usability: An Empirical Investigation of Post-Quantum...

Marthin Toruan (Royal Melbourne Institute of Technology), R.D.N. Shakya (University of Moratuwa), Samuel Tseitkin (ExeQuantum), Raymond K. Zhao (ExeQuantum), Nalin Arachchilage (Royal Melbourne Institute of Technology)

Read More

User Experiences with Suspicious Emails in Virtual Reality Headsets:...

Filipo Sharevski (DePaul University), Jennifer Vander Loop (DePaul University), Sarah Ferguson (DePaul University), Viktorija Paneva (LMU Munich)

Read More