Integration of information search technologies and artificial intelligence in the field of cybersecurity

Abstract

The paper explores the possibility of integrating traditional intelligence systems in open-source intelligence (OSINT) with advanced generative artificial intelligence (GAI) technologies, which are becoming a key factor in the development of analytical systems. The main focus of the research is on improving the functionality of the social media content monitoring system for cybersecurity issues, called CyberAggregator. The study identifies several analytical components where the application of GAI technology is most effective, including the creation of networks of key words and persons, identification of toponyms, and information summarization (building summaries, digests). The practical aspect of the research is dedicated to integrating the content monitoring system with the large language model Llama-2. The steps of this integration are provided, and the interaction process between the information search system and Llama-2 is described. The installation of dependencies and processing of queries transformed into prompts for the GAI system are detailed. This integration opens up broad possibilities for utilizing the large language model to address semantic tasks, thereby enhancing the analytical capabilities of intelligence systems. The paper identifies perspectives for using GAI to further develop and enhance information analysis systems in open sources, providing new opportunities to expand the understanding and effective use of artificial intelligence technologies in the context of tasks and ensuring cyber and information security.