SentinelLabs explores the use of Large Language Models (LLMs) to automate the extraction of indicators of compromise (IOCs) and contextual data from Cyber Threat Intelligence (CTI) narratives. The research demonstrates that LLMs can accurately parse unstructured reports into structured knowledge graphs, significantly reducing processing time while highlighting the importance of custom data models, prompt optimization, and evidence-grading frameworks.
Information Extraction
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From Narrative to Knowledge Graph | LLM-Driven Information Extraction in Cyber Threat Intelligence