The study of cyberwarfare as a concept is becoming an increasingly relevant area, using various approaches from identifying its components and dependencies to full-fledged conceptual forecasting using generative AI, which creates new opportunities for building capacious analytics. The article presents a methodology for ensuring the accuracy and completeness of NER processing of large data sets on the example of news clippings and articles on the topic of Israeli cyberspace attacks and explores the possibilities of using GPT for contextual prediction within the framework of peripheral associative series of the semantic network.

Keywords

cyberwarfare, semantic networks, prediction modeling, linguistics, N-GRAM, GTP, NER