Krebs指出AI驱动的漏洞发现导致微软补丁数量创纪录,给需要逐一测试补丁的企业安全团队带来额外压力。
微软将漏洞发现数量激增归功于大语言模型,想必修复这些漏洞的许多补丁也要归功于 AI。与此同时,安全专家一直警告,微软这些异常庞大的补丁批次正在给企业安全团队带来额外压力,这些团队往往需要先测试每个更新,再在网络中部署,以确保修复不会给其他软件造成问题。原文 (en)
Microsoft credits large language models for the high volume of bug discovery, and presumably AI gets credit for many of the patches used to fix these flaw. Meanwhile, security experts have been warning that these unusually large patch volleys from Microsoft are placing extra strain on corporate security teams, which often have to test individual updates before deploying them across a network to ensure the fixes don’t cause problems for other software.