cyber threat intelligence
PulseAugur coverage of cyber threat intelligence — every cluster mentioning cyber threat intelligence across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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FALCON framework automates IDS rule generation from cyber threat intelligence
Researchers have developed FALCON, an agentic framework designed to automate the creation and validation of Intrusion Detection System (IDS) rules from cyber threat intelligence (CTI). This system addresses bottlenecks …
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Open-source LLMs fall short on complex cyber threat intelligence classification
A new research paper evaluates the performance of seven open-source large language models (LLMs) on classifying complex cyber threat intelligence (CTI) reports. The study constructed a dataset of 2,076 human-annotated s…
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New benchmark tests LLMs on cyber threat intelligence
Researchers have introduced CTIConnect, a new benchmark designed to evaluate retrieval-augmented Large Language Models (LLMs) specifically for Cyber Threat Intelligence (CTI) tasks. This benchmark integrates diverse CTI…
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LLM vulnerabilities in cyber threat intelligence detailed in new paper
A new research paper explores the vulnerabilities of large language models (LLMs) when applied to cyber threat intelligence (CTI). The study identifies three specific cognitive failures in LLMs within CTI workflows: spu…
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BSides Bratislava 2026 conference presentations now online
The presentations from the BSides Bratislava 2026 cybersecurity conference are now publicly available. These talks cover a range of topics including AI, DORA, and threat intelligence. The organizers expressed gratitude …
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OntoLogX uses LLMs to extract actionable threat intelligence from cybersecurity logs
Researchers have developed OntoLogX, an AI agent designed to extract Cyber Threat Intelligence (CTI) from raw cybersecurity logs. The system utilizes Large Language Models (LLMs) combined with a lightweight log ontology…