National Vulnerability Database
PulseAugur coverage of National Vulnerability Database — every cluster mentioning National Vulnerability Database across labs, papers, and developer communities, ranked by signal.
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CyberGraph RAG uses TigerGraph to improve LLM cybersecurity analysis
Researchers developed CyberGraph RAG, a system designed to improve how large language models handle cybersecurity data by leveraging graph databases. Unlike traditional RAG which struggles with the relational nature of …
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AI security tools may hallucinate vulnerabilities from training data
Large language models used for AI-assisted vulnerability discovery can falsely present information from their training data as novel findings. This occurs because LLMs cannot distinguish between recalling information ab…
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CyberSecQwen-4B: Small, specialized model offers local defense for cybersecurity
A new, specialized language model named CyberSecQwen-4B has been developed for defensive cybersecurity tasks. This model is designed to be small, runnable locally, and handle sensitive data without needing external APIs…
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New AI tool automates threat modeling for cyber-physical systems
Researchers have developed SMSI, a novel pipeline that automates threat modeling for cyber-physical systems. This system translates architectural models into actionable security control recommendations by mapping system…
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FixV2W uses knowledge graph embeddings to improve CVE-CWE mapping accuracy
Researchers have developed FixV2W, a novel method to enhance the accuracy of mappings between Common Vulnerabilities and Exposures (CVE) and Common Weakness Enumeration (CWE) entries. This approach utilizes knowledge gr…