Perceptions, Barriers, and Integration of LLMs Across the Cybersecurity Workforce

Miuyin Yong Wong, Alan F. Luo, and Michelle L. Mazurek, University of Maryland

Large language models (LLMs) are rapidly being integrated across industries. Early research shows that these models have the potential to provide support in cybersecurity tasks like malware detection, reverse engineering, and incidence response. These findings suggest that LLMs could offer valuable assistance to cybersecurity practitioners. However, their real-world adoption within real world cybersecurity workflows remains largely unexplored. To fill this gap, we are conducting semi-structured interviews with cybersecurity professionals working in industry to explore how they perceive, and use LLMs in their daily workflows.

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