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New pipeline CG-CTI enhances critical infrastructure threat intelligence with confidence scoring

Researchers have developed CG-CTI, an operational pipeline designed to enhance threat intelligence for critical infrastructure defense. This system converts raw malware sandbox output into structured STIX 2.1 format, correlating it with other sensor data in a knowledge graph. Crucially, CG-CTI assigns a confidence status to each intelligence object based on provenance, corroboration, and durability, enabling automated enforcement only for highly trusted information. A language model stage further refines this by narrating the evidence, ensuring each statement is supported by cited data and removing unsupported claims before analyst review. AI

IMPACT This system could improve the efficiency and reliability of cybersecurity operations for critical infrastructure by automating the validation and actioning of threat intelligence.

RANK_REASON The cluster describes a new research paper detailing a novel system for threat intelligence. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New pipeline CG-CTI enhances critical infrastructure threat intelligence with confidence scoring

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The cluster describes a new research paper detailing a novel system for threat intelligence. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Nikolaos Kekatos, Mihaela Curc\u{a}, Georgios Koutidis, Mihai Nena, Tom Nianios, Robert-\c{S}tefan \c{S}andru, Michael Ioannou, Charalambos Bratsas ·

    From Sandbox to Enforcement: Confidence-Qualified Threat Intelligence for Critical Infrastructure

    arXiv:2610.07310v1 Announce Type: cross Abstract: Security operations centres and national incident-response teams defending critical infrastructure collect abundant threat data yet struggle to turn it into actionable intelligence. A malware sandbox produces detailed behavioural …