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0.5628
Chimera Difficulty Score
a synthesis of Flesch-Kincaid, Coleman-Liau, SMOG, and Dale-Chall readability metrics
Overview In this blog post, we explore the application of large language models (LLMs) for extracting and contextualizing information from cyber threat intelligence (CTI) reports, turning narrative into structured data for downstream use. As part of our broader continuous innovation in automating defense workflows with AI, this work focuses on the use of LLMs for information extraction in the CTI ...
The application of large language models (LLMs) to cyber threat intelligence (CTI) represents a significant step toward automating the extraction and contextualization of critical security information. The strongest version of this narrative highlights the potential of LLMs to transform unstructured narrative text into structured, machine-readable data, enabling faster and more scalable processing of CTI reports. This capability is particularly valuable in a landscape where adversary techniques,...