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谷歌研究人员首次利用AI大模型发现软件漏洞,揭示网络防御新潜力

11月5日消息,谷歌研究人员宣布,他们通过AI大模型发现了开源数据库引擎SQLite中的一个未公开内存安全漏洞,并在软件发布前就报告并修复了该问题,确保漏洞未影响用户。这项研究是谷歌Project Zero与DeepMind合作的“Big Sleep”项目的一部分,旨在探索AI在网络防御中的应用潜力。

传统的模糊测试技术对发现隐蔽的漏洞变种存在局限,而大模型的优势在于能够快速识别已知漏洞的变种,帮助防御者抢占先机。谷歌的研究指出,约40%的零日漏洞源自已报告漏洞的变种,而大模型可在漏洞研究中减少不确定性,通过已知漏洞的线索定位类似的安全风险。

网络安全专家认为,该研究显示了AI在网络防御中的巨大潜力,有望在未来帮助安全研究人员实现更高效、低成本的漏洞检测和修复。

参考资源 [1]



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谷歌研究人员首次利用AI大模型发现软件漏洞,揭示网络防御新潜力

11月5日消息,谷歌研究人员宣布,他们通过AI大模型发现了开源数据库引擎SQLite中的一个未公开内存安全漏洞,并在软件发布前就报告并修复了该问题,确保漏洞未影响用户。这项研究是谷歌Project Zero与DeepMind合作的“Big Sleep”项目的一部分,旨在探索AI在网络防御中的应用潜力。

传统的模糊测试技术对发现隐蔽的漏洞变种存在局限,而大模型的优势在于能够快速识别已知漏洞的变种,帮助防御者抢占先机。谷歌的研究指出,约40%的零日漏洞源自已报告漏洞的变种,而大模型可在漏洞研究中减少不确定性,通过已知漏洞的线索定位类似的安全风险。

网络安全专家认为,该研究显示了AI在网络防御中的巨大潜力,有望在未来帮助安全研究人员实现更高效、低成本的漏洞检测和修复。

参考资源 [1]

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