cyber threat intelligence
PulseAugur coverage of cyber threat intelligence — every cluster mentioning cyber threat intelligence across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
-
Global AI Red Teaming Initiative Launched for Enhanced Security
Red Packet Security is advocating for a global, collaborative approach to AI red teaming to bolster AI security. The initiative, termed "Red-Teaming in the Public Interest," aims to foster cooperation among researchers …
-
New framework automates attack chain extraction from cyber threat intelligence
Researchers have developed an automated framework to extract actionable attack chains from cyber threat intelligence (CTI) reports. This system models each attack step with preconditions, behavior, and postconditions, e…
-
Executives demand CTI function build order as AI-driven breaches mount
Building a robust cyber threat intelligence (CTI) function requires executive buy-in and a clear understanding of its strategic value, rather than treating it as a mere security operations center appendage. Recent surve…
-
New SMETA-ZSL method advances zero-shot cybersecurity threat classification
Researchers have developed SMETA-ZSL, a novel approach to zero-shot threat classification in cybersecurity. This method addresses challenges like semantic overlap and class imbalance by using contrastive finetuning for …
-
New MCP Server Enhances MISP Galaxy Knowledge Base Search
A new, small Model Context Protocol (MCP) server has been developed to facilitate searching within the MISP galaxy knowledge base. This open-source tool is designed for cyber threat intelligence applications, specifical…
-
TACTIC-KG framework uses small agent teams for cyber threat intelligence knowledge graphs
Researchers have developed TACTIC-KG, a new framework designed to construct cybersecurity knowledge graphs from unstructured cyber threat intelligence reports. Unlike previous methods that used monolithic large language…
-
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 …
-
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…
-
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…
-
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…
-
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 …
-
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…