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New CTIFoundry corpus scaffold boosts LLM agent cyber threat intelligence

Researchers have introduced CTIFoundry, a new corpus scaffold designed to enhance the capabilities of LLM agents in cyber threat intelligence (CTI). This system structures CTI data by creating an ontology graph from authoritative knowledge bases like CVE, CWE, CAPEC, and ATT&CK, and by indexing threat reports with canonical entities. CTIFoundry provides agents with structured access to this information through specialized tools and skills, leading to improved investigation accuracy and efficiency. AI

IMPACT Enhances LLM agent capabilities in cyber threat intelligence, potentially improving the speed and accuracy of threat investigations.

RANK_REASON The cluster describes a new corpus scaffold and ontology graph for cyber threat intelligence presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New CTIFoundry corpus scaffold boosts LLM agent cyber threat intelligence

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The cluster describes a new corpus scaffold and ontology graph for cyber threat intelligence presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yutong Cheng, Changze Li, Qian Cui, Wei Ding, Lingzhi Wang, Yan Chen, Peng Gao ·

    CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence

    arXiv:2608.18613v1 Announce Type: new Abstract: Cyber threat intelligence (CTI) is increasingly consumed not by human analysts but by LLM agents that compose multi-step investigations at query time. The harness side of this shift has matured rapidly (planning loops, tool protocol…