English(EN) NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturing

NeuroGraph框架通过AI图推理增强网络威胁情报

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 02:45

研究人员开发了NeuroGraph，一个新颖的神经符号框架，旨在增强先进制造中的网络威胁情报（CTI）分析。该框架集成了本体感知符号查询生成与知识图谱检索和神经语言生成。它利用双大型语言模型架构，将自然语言问题转化为可执行的Cypher查询，然后严格根据检索到的图谱证据生成答案，旨在减少幻觉并提高推理准确性。 AI

影响该框架有望提高复杂工业环境中网络威胁情报分析的准确性和可解释性。

排序理由该条目是一篇研究论文，详细介绍了用于AI驱动威胁推理的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Helge Janicke · 2026-09-01 02:45

NeuroGraph：一种AI驱动的图神经符号框架，用于先进制造中的可解释威胁推理

The growing complexity of cyber-physical attack surfaces in advanced manufacturing has made cyber threat intelligence analysis increasingly difficult. Although large language models and retrieval-augmented generation have improved CTI workflows, text-based approaches remain vulne…

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NeuroGraph：一种AI驱动的图神经符号框架，用于先进制造中的可解释威胁推理

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