Russian Federation
Russian Federation
UDC 004.49
This paper examines the general application of large-scale language models to address strategic issues in information and cybersecurity, specifically software vulnerability management. A review of the top-10 relevant scientific articles in the Russian segment examines solutions (hypothetical and implemented) based on language models and designed for management tasks regardless of the specific subject area. A comparative analysis of the review results is provided based on the year of publication, the application area, the specific tasks being solved and their implementation status, the selected models, integration with the system, and the specifics of the application. Specific conclusions are drawn, highlighting the growing relevance and broad coverage of subject areas, the diversity of the tasks being solved, the implementation complexity and popularity of OpenAI's GPT, and the need to integrate models into the overall system architecture (or at least into its information warehouse). The possibility of improving the performance of models using appropriate add-ons is noted. The final general conclusion is that large-scale language models hold promise for solving software vulnerability management problems.
information & cubersecurity, software, vulnerability, management, artificial intelligence, large language models, LLM
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