Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights

ArXi:2605.10808v1 Announce Type: cross Large Language Models(LLMs) are increasingly explored for cybersecurity applications such as vulnerability detection. In the domain of threat modelling, prior work has primarily evaluated a number of general-purpose Large Language Models under limited prompting settings. In this study, we extend the research area of structured threat modelling by systematically evaluating domain-adapted language models of different sizes to their general counterparts.