English(EN) Future-Back Threat Modeling: A Foresight-Driven Security Framework

提出新的面向未来的威胁建模框架以提升AI安全

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-19 04:00

一种名为“面向未来的威胁建模”（Future-Back Threat Modeling, FBTM）的新安全框架被提出，旨在解决传统威胁建模的被动性。这种预测性方法首先设想未来的威胁状态，然后回溯以识别当前的漏洞和盲点。FBTM旨在揭示新兴且可行的策略、技术和程序，特别是那些与人工智能和信息战等未来技术相关的策略、技术和程序，以加强安全决策。 AI

影响该框架可以改进针对未来AI驱动的网络威胁的主动防御策略。

排序理由该条目是一篇提交至arXiv的研究论文，详细介绍了一个新的安全框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Vu Van Than · 2026-08-19 04:00

面向未来的威胁建模：一种前瞻性驱动的安全框架

arXiv:2511.16088v3 Announce Type: replace-cross Abstract: Traditional threat modeling remains reactive-focused on known TTPs and past incident data, while threat prediction and forecasting frameworks are often disconnected from operational or architectural artifacts. This creates…

本文如何被排名

报道来源 [1]

面向未来的威胁建模：一种前瞻性驱动的安全框架

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