{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-11T11:14:02.523Z","headline":"AI 如何改变漏洞响应时间线","description":"AI 正加速漏洞发现与修复，但响应瓶颈已从\"找到漏洞\"转向\"定位受影响系统\"。Google 威胁情报组 2026 年 5 月报告首例疑似 AI 辅助开发的零日漏洞利用，其 2025 年分析追踪到 90 个在野利用零日漏洞（2024 年为 78 个）。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","url":"https://www.aioga.com/news/cmsoc9zop0liurofw3qdcp4xn/","mainEntityOfPage":"https://www.aioga.com/news/cmsoc9zop0liurofw3qdcp4xn/","datePublished":"2026-08-11T07:05:55.000Z","dateModified":"2026-08-11T07:05:55.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.artificialintelligence-news.com/news/how-ai-is-changing-the-vulnerability-response-timeline","https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn"],"canonicalUrl":"https://www.aioga.com/news/cmsoc9zop0liurofw3qdcp4xn/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：AI 正加速漏洞发现与修复，但响应瓶颈已从\"找到漏洞\"转向\"定位受影响系统\"。 Aioga 将其归入「行业动态」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmsoc9zop0liurofw3qdcp4xn/","dateCreated":"2026-08-11T07:05:55.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"artificialintelligence-news.com source article","url":"https://www.artificialintelligence-news.com/news/how-ai-is-changing-the-vulnerability-response-timeline","datePublished":"2026-08-11T07:05:55.000Z","provider":{"@type":"Organization","name":"artificialintelligence-news.com","url":"https://www.artificialintelligence-news.com/news/how-ai-is-changing-the-vulnerability-response-timeline"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","datePublished":"2026-08-11T07:05:55.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn"}}],"aggregationSource":"Artificial Intelligence News（RSS）","originalPublisher":{"name":"artificialintelligence-news.com","url":"https://www.artificialintelligence-news.com/news/how-ai-is-changing-the-vulnerability-response-timeline"},"geoDeepAnswer":null,"article":{"id":"cmsoc9zop0liurofw3qdcp4xn","slug":"cmsoc9zop0liurofw3qdcp4xn","url":"https://www.aioga.com/news/cmsoc9zop0liurofw3qdcp4xn/","title":"AI 如何改变漏洞响应时间线","title_en":"","summary":"AI 正加速漏洞发现与修复，但响应瓶颈已从\"找到漏洞\"转向\"定位受影响系统\"。Google 威胁情报组 2026 年 5 月报告首例疑似 AI 辅助开发的零日漏洞利用，其 2025 年分析追踪到 90 个在野利用零日漏洞（2024 年为 78 个）。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","source":"Artificial Intelligence News（RSS）","sourceUrl":"https://www.artificialintelligence-news.com/news/how-ai-is-changing-the-vulnerability-response-timeline","aiHotUrl":"https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","publishedAt":"2026-08-11T07:05:55.000Z","category":"行业动态","score":58,"selected":false,"articleBody":["Artificial intelligence is giving security researchers new ways to examine code, trace unusual behaviour and identify flaws that conventional tools may overlook. The pressure is particularly visible around Zero-day vulnerabilities：https://www.minimus.io/post/zero-day-vulnerabilities, a recent Minimus analysis considers how container composition, dependency records and rebuild speed affect the response after an unknown flaw is exposed. Faster analysis helps only when organisations can also establish where the vulnerable software is running.","In May 2026, Google Threat Intelligence Group reported the first case in which it believed a threat actor had used AI to help develop a zero-day exploit. The exploit appeared in a Python script and bypassed two-factor authentication on a widely used open-source system administration tool when valid credentials were already available.","Researchers said they had high confidence that an AI model assisted with both discovery and weaponization. Their assessment drew on the script’s unusually detailed instructional comments, a fabricated vulnerability score and a highly structured coding style associated with generated output. Google did not claim that the wider operation was autonomous or attribute the code to a particular model.","The flaw itself is what makes the case significant. It involved a hard-coded trust assumption rather than a crash, memory error, or unsafe input. Fuzzers and static-analysis tools are well suited to finding many conventional implementation problems. A language model can also examine how permissions, functions and expected behavior interact across a codebase. That creates another route to finding logical contradictions that leave no obvious technical trace.","Google’s wider data suggests this was not an isolated concern. According to Google Threat Intelligence Group’s 2025 analysis：https://cloud.google.com/blog/topics/threat-intelligence/2025-zero-day-review, researchers tracked 90 zero-days exploited in the wild during 2025, compared with 78 in 2024. Enterprise software and appliances accounted for 43 cases, or 48% of the total. Both figures were records in Google’s dataset.","Once a flaw becomes public, security teams first have to work out where it is running. That can be difficult inside a container environment. An image may contain operating-system packages, application libraries and dependencies inherited from its base image, alongside shells or utilities with little connection to the workload’s visible purpose.","A vulnerable component can therefore sit several layers below the application itself. It may appear across numerous images even when the organisation never added it directly.","Log4Shell exposed this problem at scale in 2021. The affected Log4j library had been incorporated into a wide range of products and services. For many organisations, obtaining the patch was only the beginning. They still had to identify every server, application and container carrying a vulnerable version before they could complete remediation.","Software bills of materials provide a clearer record of what each image contains. Smaller images can also reduce the search by excluding packages that the workload does not need. Minimus examines the issue through package reduction, dependency visibility and the rebuilding of images after an affected component is disclosed.","The benefit is simpler than preventing zero-days altogether. A minimal image can still contain an unknown flaw. It gives teams fewer packages to investigate, fewer possible exposure points and less software to replace or retest once the problem becomes known.","AI is also being used to shorten the time between disclosure and patch development. Models can inspect source code, compare vulnerability reports with package records and propose changes for affected versions. None of that is especially useful when package records are outdated or nobody knows which images contain the vulnerable component.","Earlier coverage of an AI agent designed to automate vulnerability fixes：https://www.artificialintelligence-news.com/news/google-new-ai-agent-rewrites-code-automate-vulnerability-fixes/ detailed how Google DeepMind’s CodeMender contributed 72 security fixes to established open-source projects during its first six months. The system combines model reasoning with static analysis, runtime testing and fuzzing to produce and assess proposed patches.","Those patches were not accepted automatically. Human researchers reviewed each change before it was submitted, checking for regressions and confirming that it addressed the underlying cause rather than only the visible symptom.","Even an approved code change does not finish the job. Teams must identify the affected images, rebuild them with the corrected dependency and test the result before deployment. In a poorly documented environment, locating every instance may take longer than producing the patch itself.","Accurate inventories give automated tools something concrete to work with. They connect a newly disclosed flaw to the package version, image and workload that actually require attention.","AI is speeding up code analysis for both attackers and defenders, but many delays still occur after a vulnerability has been identified. One team may spend hours opening images and checking package lists by hand. Another can search a current inventory and see almost immediately which workloads contain the affected version.","That difference has little to do with the sophistication of the discovery tool. It comes from decisions made earlier about software inventories, image composition and how containers are built and replaced. As vulnerability research moves faster, the practical advantage belongs to organisations that can establish exposure and deploy a tested repair without first trying to reconstruct what their systems contain.","Bazoom：https://www.artificialintelligence-news.com/news/author/bazoom/","Physical AI：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/","AI Business Strategy：https://www.artificialintelligence-news.com/categories/inside-ai/ai-business-strategy/, Artificial Intelligence：https://www.artificialintelligence-news.com/categories/artificial-intelligence/, Features：https://www.artificialintelligence-news.com/categories/features/, Finance AI：https://www.artificialintelligence-news.com/categories/ai-in-action/finance-ai/, World of Work：https://www.artificialintelligence-news.com/categories/ai-and-us/world-of-work/","Sponsored Content：https://www.artificialintelligence-news.com/categories/sponsored-content/","Artificial Intelligence：https://www.artificialintelligence-news.com/categories/artificial-intelligence/","Healthcare & Wellness AI：https://www.artificialintelligence-news.com/categories/ai-in-action/healthcare-wellness-ai/","All our premium content and latest tech news delivered straight to your inbox","AI News is part of TechForge：https://techforge.pub/"],"articleImages":[{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2025/01/Airia-webinar-on-demand-300x250-1.png","alt":"","afterParagraph":20,"url":"/media/articles/cmsoc9zop0liurofw3qdcp4xn/54134ddad048ca5a.png"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2025/01/300x600-150x300.png","alt":"","afterParagraph":20,"url":"/media/articles/cmsoc9zop0liurofw3qdcp4xn/84efdfaa93523a46.png"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/08/lenny-kuhne-jHZ70nRk7Ns-unsplash-2048x1365.jpg","alt":"","afterParagraph":20,"url":"/media/articles/cmsoc9zop0liurofw3qdcp4xn/36b5d9636e4c42a1.jpg"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/08/stanford-evo-2-AI-model-phages-against-E-coli-bacteria-science-synthetic-biology-genome-design-drug-resistance-health-2048x1536.jpg","alt":"E coli bacteria representation as Stanford researchers have synthesised nearly 300 phages from DNA sequences produced by the Evo 2 generative AI model.","afterParagraph":21,"url":"/media/articles/cmsoc9zop0liurofw3qdcp4xn/0d782ed0c812ac20.jpg"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/08/instagram-ai-engagement-social-media-2048x1536.jpg","alt":"Company logo of the social media platform as every post you see, every Reel that autoplays, and every ‘Explore’ page suggestion on Instagram is now decided by its AI system.","afterParagraph":22,"url":"/media/articles/cmsoc9zop0liurofw3qdcp4xn/e8a68d745aeda6ce.jpg"}],"mediaStatus":"ok","articleBodyZh":["人工智能为安全研究人员提供了审查代码、追踪异常行为以及识别传统工具可能忽略的漏洞的新方法。这种压力在零日漏洞（Zero-day vulnerabilities：https://www.minimus.io/post/zero-day-vulnerabilities）方面尤为明显，Minimus 最近的一项分析考虑了容器组成、依赖记录和重建速度如何影响在未知漏洞暴露后的响应。当组织能够确定易受攻击软件的运行位置时，更快的分析才有意义。","2026 年 5 月，谷歌威胁情报团队报告了其认为首例威胁行为者使用人工智能协助开发零日漏洞利用的情况。该漏洞利用出现在一个 Python 脚本中，并在已有有效凭证的情况下绕过了一个广泛使用的开源系统管理工具的双因素身份验证。","研究人员表示，他们高度确信 AI 模型在漏洞发现和利用开发上都提供了帮助。他们的评估基于脚本异常详细的说明性注释、虚构的漏洞评分以及与生成输出相关的高度结构化编码风格。谷歌并未声称更广泛的操作是自主的，也未将代码归因于特定模型。","漏洞本身使此案例具有重要意义。它涉及硬编码的信任假设，而不是崩溃、内存错误或不安全输入。模糊测试工具和静态分析工具非常适合发现许多常规的实现问题。语言模型还可以检查权限、函数和预期行为在整个代码库中的交互情况。这为发现留下无明显技术痕迹的逻辑矛盾提供了另一种途径。","谷歌的更广泛数据表明，这并非孤立的问题。根据谷歌威胁情报团队 2025 年的分析（https://cloud.google.com/blog/topics/threat-intelligence/2025-zero-day-review），研究人员追踪了 2025 年在实际环境中被利用的 90 个零日漏洞，而 2024 年为 78 个。企业软件和设备占了 43 个案例，即总数的 48%。这两个数字都创下了谷歌数据集的记录。","一旦缺陷被公开，安全团队首先必须搞清楚它运行的位置。在容器环境中，这可能很困难。一个镜像可能包含操作系统包、应用程序库和继承自基础镜像的依赖项，以及与工作负载可见用途关联不大的 shell 或实用工具。","因此，一个易受攻击的组件可能位于应用程序本身之下的几个层级中。即使组织从未直接添加它，它也可能出现在众多镜像中。","Log4Shell 在 2021 年大规模暴露了这个问题。受影响的 Log4j 库已被纳入各种产品和服务中。对于许多组织来说，获取补丁只是开始。他们仍然必须识别每一台服务器、应用程序和容器中运行的易受攻击版本，才能完成修复。","软件物料清单提供了每个镜像包含内容的更清晰记录。较小的镜像还可以通过排除工作负载不需要的包来减少搜索范围。Minimus 通过包缩减、依赖可见性以及在受影响组件公开后重建镜像来研究这一问题。","其好处比完全防止零日漏洞更简单。最小化镜像仍可能包含未知缺陷。它让团队需要调查的包更少，可暴露的点更少，一旦问题被发现，需要替换或重新测试的软件也更少。","人工智能也正在被用来缩短从缺陷披露到补丁开发的时间。模型可以检查源代码，将漏洞报告与包记录进行比对，并对受影响的版本提出修改建议。当包记录过时或没人知道哪些镜像包含易受攻击的组件时，这些方法并不特别有用。","之前关于一种旨在自动化漏洞修复的 AI 代理的报道：https://www.artificialintelligence-news.com/news/google-new-ai-agent-rewrites-code-automate-vulnerability-fixes/ 详细介绍了 Google DeepMind 的 CodeMender 在其前六个月为现有开源项目贡献了 72 个安全修复。该系统结合了模型推理、静态分析、运行时测试和模糊测试，以生成并评估提议的补丁。","这些补丁不会自动被接受。提交之前，每一项修改都会由人工研究人员进行审查，检查是否有回归问题，并确认其解决的是根本原因，而不仅仅是可见症状。","即使代码修改获得批准，也并不意味着工作完成。团队必须确定受影响的镜像，使用修正的依赖项重建它们，并在部署前测试结果。在文档不完善的环境中，定位每一个实例可能比制作补丁本身花费的时间更长。","准确的清单为自动化工具提供了具体的数据来源。它们将新披露的漏洞与实际需要关注的包版本、镜像和工作负载相连接。","人工智能正在加速攻击者和防御者的代码分析，但在漏洞被识别后，仍会发生许多延迟。一支团队可能需要数小时手动打开镜像并检查包列表。另一支团队可以搜索当前清单，几乎立即看到哪些工作负载包含受影响的版本。","这种差异与发现工具的复杂程度关系不大，而是源于早期关于软件清单、镜像组成以及容器构建和替换所做的决策。随着漏洞研究速度加快，实际优势属于那些可以在不必先尝试重建系统内容的情况下，确定暴露情况并部署经过测试的修复的组织。","Bazoom：https://www.artificialintelligence-news.com/news/author/bazoom/","物理人工智能：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/","人工智能商业策略：https://www.artificialintelligence-news.com/categories/inside-ai/ai-business-strategy/, 人工智能：https://www.artificialintelligence-news.com/categories/artificial-intelligence/, 特写：https://www.artificialintelligence-news.com/categories/features/, 金融人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/finance-ai/, 工作世界：https://www.artificialintelligence-news.com/categories/ai-and-us/world-of-work/","赞助内容：https://www.artificialintelligence-news.com/categories/sponsored-content/","人工智能：https：//www.artificialintelligence-news.com/categories/artificial-intelligence/","医疗保健与健康人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/healthcare-wellness-ai/","我们所有的优质内容和最新科技新闻直接发送到您的收件箱","AI 新闻是 TechForge 的一部分：https://techforge.pub/"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：AI 正加速漏洞发现与修复，但响应瓶颈已从\"找到漏洞\"转向\"定位受影响系统\"。 Aioga 将其归入「行业动态」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：公司与行业类动态需要放在竞争格局、商业化路径、资本信号和监管环境中观察，单条公告不能代表最终结果。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察官方文件、合作落地、收入或用户信号、竞品动作和监管后续。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-08-11T11:23:41.998Z","sourceHash":"6455cb9c8fda53fb","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["行业动态","Artificial Intelligence News（RSS）"],"translations":{"zh-CN":{"title":"AI 如何改变漏洞响应时间线","summary":"AI 正加速漏洞发现与修复，但响应瓶颈已从\"找到漏洞\"转向\"定位受影响系统\"。Google 威胁情报组 2026 年 5 月报告首例疑似 AI 辅助开发的零日漏洞利用，其 2025 年分析追踪到 90 个在野利用零日漏洞（2024 年为 78 个）。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"artificialintelligence-news.com","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"AI 如何改变漏洞响应时间线 - Aioga AI资讯","description":"AI 正加速漏洞发现与修复，但响应瓶颈已从\"找到漏洞\"转向\"定位受影响系统\"。Google 威胁情报组 2026 年 5 月报告首例疑似 AI 辅助开发的零日漏洞利用，其 2025 年分析追踪到 90 个在野利用零日漏洞（2024 年为 78 个）。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cms...","url":"https://www.aioga.com/news/cmsoc9zop0liurofw3qdcp4xn/","articleBody":["人工智能为安全研究人员提供了审查代码、追踪异常行为以及识别传统工具可能忽略的漏洞的新方法。这种压力在零日漏洞（Zero-day vulnerabilities：https://www.minimus.io/post/zero-day-vulnerabilities）方面尤为明显，Minimus 最近的一项分析考虑了容器组成、依赖记录和重建速度如何影响在未知漏洞暴露后的响应。当组织能够确定易受攻击软件的运行位置时，更快的分析才有意义。","2026 年 5 月，谷歌威胁情报团队报告了其认为首例威胁行为者使用人工智能协助开发零日漏洞利用的情况。该漏洞利用出现在一个 Python 脚本中，并在已有有效凭证的情况下绕过了一个广泛使用的开源系统管理工具的双因素身份验证。","研究人员表示，他们高度确信 AI 模型在漏洞发现和利用开发上都提供了帮助。他们的评估基于脚本异常详细的说明性注释、虚构的漏洞评分以及与生成输出相关的高度结构化编码风格。谷歌并未声称更广泛的操作是自主的，也未将代码归因于特定模型。","漏洞本身使此案例具有重要意义。它涉及硬编码的信任假设，而不是崩溃、内存错误或不安全输入。模糊测试工具和静态分析工具非常适合发现许多常规的实现问题。语言模型还可以检查权限、函数和预期行为在整个代码库中的交互情况。这为发现留下无明显技术痕迹的逻辑矛盾提供了另一种途径。","谷歌的更广泛数据表明，这并非孤立的问题。根据谷歌威胁情报团队 2025 年的分析（https://cloud.google.com/blog/topics/threat-intelligence/2025-zero-day-review），研究人员追踪了 2025 年在实际环境中被利用的 90 个零日漏洞，而 2024 年为 78 个。企业软件和设备占了 43 个案例，即总数的 48%。这两个数字都创下了谷歌数据集的记录。","一旦缺陷被公开，安全团队首先必须搞清楚它运行的位置。在容器环境中，这可能很困难。一个镜像可能包含操作系统包、应用程序库和继承自基础镜像的依赖项，以及与工作负载可见用途关联不大的 shell 或实用工具。","因此，一个易受攻击的组件可能位于应用程序本身之下的几个层级中。即使组织从未直接添加它，它也可能出现在众多镜像中。","Log4Shell 在 2021 年大规模暴露了这个问题。受影响的 Log4j 库已被纳入各种产品和服务中。对于许多组织来说，获取补丁只是开始。他们仍然必须识别每一台服务器、应用程序和容器中运行的易受攻击版本，才能完成修复。","软件物料清单提供了每个镜像包含内容的更清晰记录。较小的镜像还可以通过排除工作负载不需要的包来减少搜索范围。Minimus 通过包缩减、依赖可见性以及在受影响组件公开后重建镜像来研究这一问题。","其好处比完全防止零日漏洞更简单。最小化镜像仍可能包含未知缺陷。它让团队需要调查的包更少，可暴露的点更少，一旦问题被发现，需要替换或重新测试的软件也更少。","人工智能也正在被用来缩短从缺陷披露到补丁开发的时间。模型可以检查源代码，将漏洞报告与包记录进行比对，并对受影响的版本提出修改建议。当包记录过时或没人知道哪些镜像包含易受攻击的组件时，这些方法并不特别有用。","之前关于一种旨在自动化漏洞修复的 AI 代理的报道：https://www.artificialintelligence-news.com/news/google-new-ai-agent-rewrites-code-automate-vulnerability-fixes/ 详细介绍了 Google DeepMind 的 CodeMender 在其前六个月为现有开源项目贡献了 72 个安全修复。该系统结合了模型推理、静态分析、运行时测试和模糊测试，以生成并评估提议的补丁。","这些补丁不会自动被接受。提交之前，每一项修改都会由人工研究人员进行审查，检查是否有回归问题，并确认其解决的是根本原因，而不仅仅是可见症状。","即使代码修改获得批准，也并不意味着工作完成。团队必须确定受影响的镜像，使用修正的依赖项重建它们，并在部署前测试结果。在文档不完善的环境中，定位每一个实例可能比制作补丁本身花费的时间更长。","准确的清单为自动化工具提供了具体的数据来源。它们将新披露的漏洞与实际需要关注的包版本、镜像和工作负载相连接。","人工智能正在加速攻击者和防御者的代码分析，但在漏洞被识别后，仍会发生许多延迟。一支团队可能需要数小时手动打开镜像并检查包列表。另一支团队可以搜索当前清单，几乎立即看到哪些工作负载包含受影响的版本。","这种差异与发现工具的复杂程度关系不大，而是源于早期关于软件清单、镜像组成以及容器构建和替换所做的决策。随着漏洞研究速度加快，实际优势属于那些可以在不必先尝试重建系统内容的情况下，确定暴露情况并部署经过测试的修复的组织。","Bazoom：https://www.artificialintelligence-news.com/news/author/bazoom/","物理人工智能：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/","人工智能商业策略：https://www.artificialintelligence-news.com/categories/inside-ai/ai-business-strategy/, 人工智能：https://www.artificialintelligence-news.com/categories/artificial-intelligence/, 特写：https://www.artificialintelligence-news.com/categories/features/, 金融人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/finance-ai/, 工作世界：https://www.artificialintelligence-news.com/categories/ai-and-us/world-of-work/","赞助内容：https://www.artificialintelligence-news.com/categories/sponsored-content/","人工智能：https：//www.artificialintelligence-news.com/categories/artificial-intelligence/","医疗保健与健康人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/healthcare-wellness-ai/","我们所有的优质内容和最新科技新闻直接发送到您的收件箱","AI 新闻是 TechForge 的一部分：https://techforge.pub/"]},"en":{"title":"How AI Changes the Vulnerability Response Timeline","summary":"AI is accelerating vulnerability discovery and remediation, but the response bottleneck has shifted from 'finding vulnerabilities' to 'locating affected systems.' In May 2026, Google's Threat Intelligence team reported the first suspected AI-assisted zero-day exploit, and their 2025 analysis tracked 90 in-the-wild zero-day exploits (78 in 2024). 🔗 Read the original via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"Industry","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"How AI Changes the Vulnerability Response Timeline - Aioga AI News","description":"AI is accelerating vulnerability discovery and remediation, but the response bottleneck has shifted from 'finding vulnerabilities' to 'locating affected systems.' In May 2026, Goog...","url":"https://www.aioga.com/en/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:14:52.848Z"},"ja":{"title":"AIはどのように脆弱性対応のタイムラインを変えるか","summary":"AIは脆弱性の発見と修復を加速させていますが、対応のボトルネックは「脆弱性の発見」から「影響を受けたシステムの特定」に移っています。Googleの脅威インテリジェンスチームは、2026年5月に初の疑似AI支援によるゼロデイ脆弱性の悪用を報告し、2025年には90件の野生ゼロデイ脆弱性の利用を追跡しました（2024年は78件）。 🔗 オリジナルを読む via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"業界動向","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"AIはどのように脆弱性対応のタイムラインを変えるか - Aioga AIニュース","description":"AIは脆弱性の発見と修復を加速させていますが、対応のボトルネックは「脆弱性の発見」から「影響を受けたシステムの特定」に移っています。Googleの脅威インテリジェンスチームは、2026年5月に初の疑似AI支援によるゼロデイ脆弱性の悪用を報告し、2025年には90件の野生ゼロデイ脆弱性の利用を追跡しました（2024年は78件）。 🔗 オリジナルを読む via...","url":"https://www.aioga.com/ja/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:15:01.832Z"},"ko":{"title":"AI가 취약점 대응 시간표를 어떻게 변화시키는가","summary":"AI는 취약점 발견과 수정 속도를 가속화하고 있지만, 대응 병목은 '취약점 찾기'에서 '영향을 받는 시스템 위치 파악'으로 전환되고 있다. Google 위협 인텔리전스팀은 2026년 5월 최초의 AI 보조 개발 의심 제로데이 취약점 이용 사례를 보고했으며, 2025년에는 현장에서 이용된 제로데이 취약점 90건을 추적 분석했는데(2024년에는 78건). 🔗 원문 읽기 via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"업계 동향","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"AI가 취약점 대응 시간표를 어떻게 변화시키는가 - Aioga AI 뉴스","description":"AI는 취약점 발견과 수정 속도를 가속화하고 있지만, 대응 병목은 '취약점 찾기'에서 '영향을 받는 시스템 위치 파악'으로 전환되고 있다. Google 위협 인텔리전스팀은 2026년 5월 최초의 AI 보조 개발 의심 제로데이 취약점 이용 사례를 보고했으며, 2025년에는 현장에서 이용된 제로데이 취약점 90건을 추적 분석...","url":"https://www.aioga.com/ko/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:16:02.040Z"},"es":{"title":"Cómo la IA cambia la línea de tiempo de respuesta a vulnerabilidades","summary":"La IA está acelerando el descubrimiento y la reparación de vulnerabilidades, pero el cuello de botella en la respuesta ha pasado de \"encontrar vulnerabilidades\" a \"localizar sistemas afectados\". El grupo de inteligencia sobre amenazas de Google informó en mayo de 2026 sobre el primer caso sospechoso de explotación de vulnerabilidad de día cero desarrollada con asistencia de IA; en 2025 realizó un seguimiento de 90 vulnerabilidades de día cero explotadas en la naturaleza (78 en 2024). 🔗 Leer el artículo original vía AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"Industria","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Cómo la IA cambia la línea de tiempo de respuesta a vulnerabilidades - Aioga Noticias de IA","description":"La IA está acelerando el descubrimiento y la reparación de vulnerabilidades, pero el cuello de botella en la respuesta ha pasado de \"encontrar vulnerabilidades\" a \"localizar sistem...","url":"https://www.aioga.com/es/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:15:59.691Z"},"fr":{"title":"Comment l'IA change la chronologie de la réponse aux vulnérabilités","summary":"L'IA accélère la découverte et la correction des vulnérabilités, mais le goulot d'étranglement de la réponse est passé de \"trouver des vulnérabilités\" à \"localiser les systèmes affectés\". L'équipe de renseignement sur les menaces de Google a rapporté en mai 2026 le premier cas suspect d'exploitation de vulnérabilité zero-day développée avec l'aide de l'IA, et en 2025, elle a analysé et suivi 90 vulnérabilités zero-day exploitées dans la nature (78 en 2024). 🔗 Lire l'article original via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"Industrie","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Comment l'IA change la chronologie de la réponse aux vulnérabilités - Aioga Actualités IA","description":"L'IA accélère la découverte et la correction des vulnérabilités, mais le goulot d'étranglement de la réponse est passé de \"trouver des vulnérabilités\" à \"localiser les systèmes aff...","url":"https://www.aioga.com/fr/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:17:06.284Z"},"de":{"title":"Wie KI die Zeitachse der Schwachstellenreaktion verändert","summary":"KI beschleunigt die Entdeckung und Behebung von Schwachstellen, aber der Engpass bei der Reaktion hat sich von der „Schwachstellenfindung“ zur „Lokalisierung betroffener Systeme“ verlagert. Das Google Threat Intelligence Team berichtete im Mai 2026 über den ersten vermuteten KI-unterstützten Zero-Day-Exploit; ihre Analyse für 2025 verfolgte 90 aktive Zero-Day-Exploits (2024 waren es 78). 🔗 Originaltext lesen via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Wie KI die Zeitachse der Schwachstellenreaktion verändert - Aioga KI-News","description":"KI beschleunigt die Entdeckung und Behebung von Schwachstellen, aber der Engpass bei der Reaktion hat sich von der „Schwachstellenfindung“ zur „Lokalisierung betroffener Systeme“ v...","url":"https://www.aioga.com/de/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:17:00.786Z"},"pt-BR":{"title":"Como a IA pode mudar a linha do tempo de resposta a vulnerabilidades","summary":"A IA está acelerando a descoberta e correção de vulnerabilidades, mas o gargalo de resposta mudou de \"encontrar vulnerabilidades\" para \"localizar sistemas afetados\". O Grupo de Inteligência de Ameaças do Google relatou em maio de 2026 o primeiro caso suspeito de exploração de vulnerabilidade zero-day desenvolvida com auxílio de IA. Sua análise de 2025 rastreou 90 vulnerabilidades zero-day exploradas ativamente (78 em 2024). 🔗 Leia o artigo original via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Como a IA pode mudar a linha do tempo de resposta a vulnerabilidades - Aioga Notícias de IA","description":"A IA está acelerando a descoberta e correção de vulnerabilidades, mas o gargalo de resposta mudou de \"encontrar vulnerabilidades\" para \"localizar sistemas afetados\". O Grupo de Int...","url":"https://www.aioga.com/pt-BR/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:18:01.456Z"},"ru":{"title":"Как ИИ меняет временные рамки реагирования на уязвимости","summary":"ИИ ускоряет обнаружение и исправление уязвимостей, но узким местом в реакции стало не \"нахождение уязвимостей\", а \"определение затронутых систем\". Группа угроз Google в мае 2026 года сообщила о первом предполагаемом случае эксплуатации нулевого дня, созданной с помощью ИИ; в 2025 году было зафиксировано 90 случаев эксплуатации уязвимостей нулевого дня в дикой среде (в 2024 году — 78 случаев). 🔗 Читайте оригинал через AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Как ИИ меняет временные рамки реагирования на уязвимости - Aioga Новости ИИ","description":"ИИ ускоряет обнаружение и исправление уязвимостей, но узким местом в реакции стало не \"нахождение уязвимостей\", а \"определение затронутых систем\". Группа угроз Google в мае 2026 го...","url":"https://www.aioga.com/ru/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:18:06.974Z"},"ar":{"title":"كيف يغير الذكاء الاصطناعي جدول استجابة الثغرات","summary":"تعمل الذكاء الاصطناعي على تسريع اكتشاف الثغرات وإصلاحها، لكن عنق الزجاجة في الاستجابة تحول من \"اكتشاف الثغرات\" إلى \"تحديد الأنظمة المتأثرة\". أبلغ فريق استخبارات التهديدات في Google في مايو 2026 عن أول حالة مشتبه بها لاستغلال ثغرة صفرية تم تطويرها بمساعدة الذكاء الاصطناعي، وقد تابع تحليلهم لعام 2025 حوالي 90 استغلالًا فعليًا للثغرات الصفرية (وكان العدد 78 في عام 2024). 🔗 اقرأ المقال الأصلي عبر AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"كيف يغير الذكاء الاصطناعي جدول استجابة الثغرات - Aioga أخبار الذكاء الاصطناعي","description":"تعمل الذكاء الاصطناعي على تسريع اكتشاف الثغرات وإصلاحها، لكن عنق الزجاجة في الاستجابة تحول من \"اكتشاف الثغرات\" إلى \"تحديد الأنظمة المتأثرة\". أبلغ فريق استخبارات التهديدات في Google...","url":"https://www.aioga.com/ar/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:19:03.272Z"},"hi":{"title":"एआई कैसे भेद्यता प्रतिक्रिया समयरेखा को बदलता है","summary":"एआई कमजोरियों की खोज और मरम्मत को तेज कर रहा है, लेकिन प्रतिक्रिया की बाधा \"कमजोरी का पता लगाने\" से बदलकर \"प्रभावित सिस्टम की पहचान\" की ओर हो गई है। गूगल खतरा खुफिया टीम ने मई 2026 में पहली विशिष्ट AI-सहायता प्राप्त शून्य-दिन (ज़ीरो-डे) शोषण की रिपोर्ट दी, जिसकी 2025 की विश्लेषण ट्रैकिंग में 90 सक्रिय ज़ीरो-डे शोषण पाए गए (2024 में 78)। 🔗 मूल लेख पढ़ें via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"एआई कैसे भेद्यता प्रतिक्रिया समयरेखा को बदलता है - Aioga AI समाचार","description":"एआई कमजोरियों की खोज और मरम्मत को तेज कर रहा है, लेकिन प्रतिक्रिया की बाधा \"कमजोरी का पता लगाने\" से बदलकर \"प्रभावित सिस्टम की पहचान\" की ओर हो गई है। गूगल खतरा खुफिया टीम ने मई 2026...","url":"https://www.aioga.com/hi/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:19:07.897Z"},"it":{"title":"Come l'IA cambia la tempistica di risposta alle vulnerabilità","summary":"L'AI sta accelerando la scoperta e la correzione delle vulnerabilità, ma il collo di bottiglia della risposta si è spostato dal \"trovare la vulnerabilità\" al \"localizzare i sistemi interessati\". Il gruppo di intelligence sulle minacce di Google ha riportato a maggio 2026 il primo sospetto sfruttamento di vulnerabilità zero-day assistito dall'AI, mentre la sua analisi del 2025 ha tracciato 90 exploit zero-day in natura (78 nel 2024). 🔗 Leggi l'articolo originale via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Come l'IA cambia la tempistica di risposta alle vulnerabilità - Aioga Notizie IA","description":"L'AI sta accelerando la scoperta e la correzione delle vulnerabilità, ma il collo di bottiglia della risposta si è spostato dal \"trovare la vulnerabilità\" al \"localizzare i sistemi...","url":"https://www.aioga.com/it/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:20:08.647Z"},"nl":{"title":"Hoe AI de responstijdlijn van kwetsbaarheden verandert","summary":"AI versnelt het ontdekken en herstellen van kwetsbaarheden, maar de responsknelpunten zijn verschoven van 'kwetsbaarheid vinden' naar 'geïnfecteerde systemen lokaliseren'. Het Google Threat Intelligence-team meldde in mei 2026 het eerste vermoedelijke AI-ondersteunde zero-day-exploit, waarbij hun analyse in 2025 terug te voeren is op 90 actieve zero-day exploits (78 in 2024). 🔗 Lees het originele artikel via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Hoe AI de responstijdlijn van kwetsbaarheden verandert - Aioga AI-nieuws","description":"AI versnelt het ontdekken en herstellen van kwetsbaarheden, maar de responsknelpunten zijn verschoven van 'kwetsbaarheid vinden' naar 'geïnfecteerde systemen lokaliseren'. Het Goog...","url":"https://www.aioga.com/nl/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:20:06.103Z"},"tr":{"title":"Yapay Zeka Açık Tespitine Yanıt Süreçlerini Nasıl Değiştiriyor","summary":"Yapay zeka, güvenlik açıklarının keşfi ve onarımını hızlandırıyor, ancak yanıt darboğazı \"açığı bulmak\"tan \"etkilenen sistemi belirlemeye\" kaydı. Google Tehdit İstihbarat Grubu, Mayıs 2026'da ilk şüpheli AI destekli sıfır gün açığı istismarını bildirdi; 2025 analizinde 90 adet aktif sıfır gün açığı tespit edildi (2024'te 78). 🔗 Orijinal metni okuyun via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Yapay Zeka Açık Tespitine Yanıt Süreçlerini Nasıl Değiştiriyor - Aioga AI Haberleri","description":"Yapay zeka, güvenlik açıklarının keşfi ve onarımını hızlandırıyor, ancak yanıt darboğazı \"açığı bulmak\"tan \"etkilenen sistemi belirlemeye\" kaydı. Google Tehdit İstihbarat Grubu, Ma...","url":"https://www.aioga.com/tr/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:21:12.431Z"},"vi":{"title":"AI thay đổi dòng thời gian phản hồi lỗ hổng như thế nào","summary":"AI đang tăng tốc phát hiện và sửa chữa lỗ hổng, nhưng thắt cổ chai phản hồi đã chuyển từ \"tìm lỗ hổng\" sang \"xác định hệ thống bị ảnh hưởng\". Nhóm tình báo mối đe dọa của Google vào tháng 5 năm 2026 đã báo cáo trường hợp đầu tiên nghi ngờ khai thác lỗ hổng zero-day do AI hỗ trợ phát triển, trong một phân tích năm 2025 đã theo dõi được 90 lỗ hổng zero-day đang bị khai thác (năm 2024 là 78 lỗ hổng). 🔗 Đọc nguyên văn qua AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"AI thay đổi dòng thời gian phản hồi lỗ hổng như thế nào - Tin tức AI Aioga","description":"AI đang tăng tốc phát hiện và sửa chữa lỗ hổng, nhưng thắt cổ chai phản hồi đã chuyển từ \"tìm lỗ hổng\" sang \"xác định hệ thống bị ảnh hưởng\". Nhóm tình báo mối đe dọa của Google và...","url":"https://www.aioga.com/vi/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:21:13.628Z"},"id":{"title":"Bagaimana AI Mengubah Garis Waktu Respons terhadap Kerentanan","summary":"AI sedang mempercepat penemuan dan perbaikan kerentanan, tetapi hambatan respons telah beralih dari \"menemukan kerentanan\" ke \"menentukan sistem yang terdampak\". Tim intelijen ancaman Google pada Mei 2026 melaporkan kasus pertama dugaan eksploitasi zero-day yang dibantu AI, yang pada 2025 dianalisis dan dilacak menjadi 90 exploit zero-day aktif (2024 sebanyak 78). 🔗 Baca artikel asli via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Bagaimana AI Mengubah Garis Waktu Respons terhadap Kerentanan - Berita AI Aioga","description":"AI sedang mempercepat penemuan dan perbaikan kerentanan, tetapi hambatan respons telah beralih dari \"menemukan kerentanan\" ke \"menentukan sistem yang terdampak\". Tim intelijen anca...","url":"https://www.aioga.com/id/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:22:09.670Z"},"th":{"title":"AI จะเปลี่ยนแปลงไทม์ไลน์การตอบสนองช่องโหว่อย่างไร","summary":"AI กำลังเร่งการค้นพบและแก้ไขช่องโหว่ แต่คอขวดในการตอบสนองได้เปลี่ยนจาก \"การหาช่องโหว่\" เป็น \"การระบุตัวระบบที่ได้รับผลกระทบ\" กลุ่มข่าวกรองภัยคุกคามของ Google รายงานกรณีแรกของการใช้ประโยชน์จากช่องโหว่วันศูนย์ที่สงสัยว่าได้รับการพัฒนาด้วย AI ในเดือนพฤษภาคม 2026 โดยการวิเคราะห์ในปี 2025 ติดตามพบ 90 ช่องโหว่วันศูนย์ที่ถูกใช้จริง (ปี 2024 มี 78 ช่องโหว่) 🔗 อ่านต้นฉบับผ่าน AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"AI จะเปลี่ยนแปลงไทม์ไลน์การตอบสนองช่องโหว่อย่างไร - ข่าว AI Aioga","description":"AI กำลังเร่งการค้นพบและแก้ไขช่องโหว่ แต่คอขวดในการตอบสนองได้เปลี่ยนจาก \"การหาช่องโหว่\" เป็น \"การระบุตัวระบบที่ได้รับผลกระทบ\" กลุ่มข่าวกรองภัยคุกคามของ Google รายงานกรณีแรกของการใช้...","url":"https://www.aioga.com/th/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:22:19.375Z"},"pl":{"title":"Jak AI zmienia linię czasu reagowania na luki","summary":"AI przyspiesza wykrywanie i naprawianie luk, ale wąskie gardło odpowiedzi przesunęło się z „znalezienia luki” na „zlokalizowanie dotkniętego systemu”. Zespół Google ds. wywiadu zagrożeń w maju 2026 roku zgłosił pierwszy przypadek podejrzanego zero-day exploit wspomaganego przez AI, którego analiza z 2025 roku śledziła 90 aktywnych zero-day exploitów (w 2024 roku było ich 78). 🔗 Przeczytaj oryginał via AIHOT · https://aihot.virxact.com/items/cmsoc9zop0liurofw3qdcp4xn","category":"行业动态","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Jak AI zmienia linię czasu reagowania na luki - Aioga Wiadomości AI","description":"AI przyspiesza wykrywanie i naprawianie luk, ale wąskie gardło odpowiedzi przesunęło się z „znalezienia luki” na „zlokalizowanie dotkniętego systemu”. Zespół Google ds. wywiadu zag...","url":"https://www.aioga.com/pl/news/cmsoc9zop0liurofw3qdcp4xn/","contentTranslated":true,"sourceHash":"e2e50567e478c6c1","translatedAt":"2026-08-11T11:23:19.284Z"}}}}