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Weeks to Hours: SentinelOne on Cybersecurity Research with OpenAI

2026-10-15 14:12 · 时长 0分52秒 · 👁 628 · 👍 54 · 原视频 ↗
#网络安全 #逆向工程 #威胁情报

Weeks to Hours: SentinelOne on Cybersecurity Research with OpenAI

一句话概括: SentinelOne 介绍如何借助 OpenAI 将网络安全研究中的恶意软件逆向工程从顶级研究员数周的工作压缩到约 8 小时,并把专家级网络能力带给防御团队。

要点: - 当前网络安全研究的瓶颈是:人类只能逆向分析极少量软件,难以真正映射整个恶意软件世界。 - 借助 OpenAI,逆向工程等任务已经可以达到人类水平能力;原本顶级研究员需要 4 到 6 周完成的工作,现在约 8 小时就能输出人类水平的结果。 - 这种能力不只用于单点分析:如果在一款软件中发现曾在别处见过的元素,并识别出它的构建者,就能建立两份此前不相关恶意软件之间的关系。 - 这种关联形成了新的情报类型,是过去无法负担、难以规模化获得的能力,可用于恶意软件归因和防御。 - OpenAI 的作用是把专家级网络能力提供给开发团队中的每个人,从而将优势转向防御者。

▸ 原始转写文字稿(803 字符)
How much of the world of malware can I actually map? At the moment, we're only able to reverse very small numbers of pieces of software. You can now reach human-level capability in things like reverse engineering, something that would have taken a top-flight researcher four weeks, six weeks to do. Now it's doing at human-level output in something like eight hours. If you find an element inside a piece of software that you've seen somewhere else and you've identified who built that, then you can now say, well, this is a relationship now between these two pieces of previously unrelated malware. That's the kind of intelligence that we were never able to afford before. But OpenAI is shifting the advantage to defenders by providing expert-level cyber capability to everyone in the development team.