Modern challenges in cybersecurity require new approaches to information retrieval and data analysis. The growth of data volumes and the speed of their updates make traditional information processing methods insufficiently effective. This paper proposes the integration of large language models (LLMs) into information retrieval systems to enhance analytical capabilities and automate data processing tasks. The main goal of the research is to translate the analytical component of the information retrieval system to LLMs, significantly improving the accuracy, completeness, and relevance of information searches. The system Cyber Aggregator, used for monitoring and analyzing social media content in the context of cybersecurity, demonstrates the effectiveness of the proposed approach. The integration of LLMs into Cyber Aggregator allows for the automation of semantic indexing processes, enhances the formulation and modification of user queries, and provides more precise summarization and analysis of search results. This includes creating analytical digests, identifying key events, constructing semantic maps, and conducting semantic analysis.

The proposed methodology is based on leveraging the powerful capabilities of LLMs, such as understanding complex relationships between concepts, analyzing context, and automatically forming conclusions. The application of this technology in cybersecurity contributes to more effective threat monitoring, improved situational awareness, and enhanced real-time threat response capabilities. The paper also presents a UML diagram illustrating the key components of the system, along with a mathematical formalization of the main processes related to the integration of LLMs into information retrieval systems. The research findings indicate that the use of LLMs combined with information retrieval technologies opens new opportunities for automating data analysis and ensuring cybersecurity. This makes the proposed approach an important tool for cybersecurity professionals engaged in open-source intelligence (OSINT) and other analytical tasks in today.s information environment.

Keywords

Cybersecurity, Information Retrieval, Large Language Models, Data Analysis Automation, Social Media Monitoring, Semantic Analysis, Cyber Aggregator