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New system automates cyber threat intelligence dissemination by sector

Researchers have developed DisCTI, a novel system designed to automate the dissemination of cyber threat intelligence (CTI) by accurately mapping it to specific sectors. This addresses the critical issue of CTI overload and the underutilization of existing sector-tagging features in platforms like MISP. By framing the problem as a multilabel classification task and utilizing the BERT transformer model, DisCTI can automatically assign CTI events to relevant sectors, achieving a high F1-score and significantly improving the operational value of threat intelligence. AI

IMPACT Automates sector-specific threat intelligence, enabling faster and more context-relevant defensive actions for organizations.

RANK_REASON The cluster contains a research paper detailing a novel system and methodology for cyber threat intelligence dissemination. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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New system automates cyber threat intelligence dissemination by sector

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The cluster contains a research paper detailing a novel system and methodology for cyber threat intelligence dissemination. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Fajar Wijitrisnanto (National Cyber and Crypto Agency, Jakarta, Indonesia), Alsharif Abuadbba (CSIRO, Sydney, Australia), Yansong Gao (CSIRO, Sydney, Australia, The University of Western Australia, Perth, Australia), Nan Wu (CSIRO, Sydney, Australia) ·

    DisCTI: Who Needs to Know Timely? Automated Sector-Aware Cyber Threat Intelligence Dissemination

    arXiv:2608.27967v1 Announce Type: cross Abstract: The timely dissemination of cyber threat intelligence (CTI) is critical for organizations to mount swift and effective incident response. When valid CTI is delivered to the right sector at the right time, identical attacks can oft…