STINER: Automated Extraction of Strategic Cyber Threat Intelligence from X

Strategic Cyber Threat Intelligence CTI focuses on high-level insights, such as identifying targeted industries, attributing attacks to specific ransomware groups, and assessing the scale of data loss. Today, X formerly Twitter has become the fastest source for this intelligence, often hosting...

CyberThreat-Nlp-Intelligence-System

🛡️ CyberGuard AI — Cyber Threat Intelligence System An AI-p...

CyberNER: A Harmonized STIX Corpus for Cybersecurity Named Entity Recognition

Extracting structured intelligence via Named Entity Recognition NER is critical for cybersecurity, but the proliferation of datasets with incompatible annotation schemas hinders the development of comprehensive models. While combining these resources is desirable, we empirically demonstrate that...

graph-rag-poc

Graph RAG Pipeline - Proof of Concept A locally-executable Gr...

AiCEF - An AI-assisted cyber exercise content generation framework using named entity recognition

AiCEF is a tool implementing the accompanying framework 1 in order to harness the intelligence that is available from online resources, as well as threat groups' activities, arsenal eg. MITRE, to create relevant and timely cybersecurity exercise content. This way, we abstract the events from the...

MultiNer code vulnerabilities

National Library Of The Netherlands / Research MultiNer is used by National Library Of The Netherlands / Research to merge the output of five different Dutch named entity recognition packages into a single answer. A security vulnerability exists in MultiNer that stems from insufficient security...