最新资讯
dev.to 我们在 DolphinBench 上测试记忆检索:纯关键词搜索暴露了自身回归 dev.to 别再把 Agent 写成 while 循环,把它建模为状态机 bloomberg.com Rightmove 与 Scout24 借 AI 产品应对低迷房市并上调展望 stackoverflow.blog 欢迎来到芯片时代:半导体制造、AI 数据中心与芯片设计的未来 www.youtube.com AI Agent 总犯同样的错:CentralAgent AI 将记忆重构为经验系统 pub.towardsai.net Netflix 科学家建议重采样 LLM 评判:5 次仅将误差棒缩小 13% pub.towardsai.net Jev 作为 LLM 前的静默层:构建提示感知的模型路由器 reddit.com OpenAI 称 Astra 仅满足 10% 安全任务标准 dev.to FreeToken:在自有 GPU 上运行前沿 MoE 模型及其内存需求 dev.to 当 AI Agent 说“完成”时,究竟完成了什么? dev.to 部署 Underdog Bark 3.0 Pro:逐字转写、自定义后端与分块设置 dev.to 为艰难对话构建 AI:五个 Agent、一条安全正则与一位盲评监督者
多元动态
登录 注册
智能体 infoq.com · @Renato Losio

Google发布Beyond Zero:面向AI时代的零信任安全模型

原文 我的收藏

Google研究论文提出Beyond Zero,将零信任扩展到自主AI智能体,将访问决策从应用层移至资源与动作级别,结合静态授权和动态AI决策,实现机器速度的强制执行。

AI推荐理由 Google发布Beyond Zero安全模型,扩展零信任至自主AI智能体,内容具体,来源为InfoQ,权威性较高。

75

正文

InfoQ首页 新闻 超越零信任:谷歌发布BeyondCorp的继任者 开发 超越零信任:谷歌发布BeyondCorp的继任者 2026年9月5日 2 分钟阅读 作者 Renato Losio 关注我们 YouTube232K关注者 Linkedin26K关注者 Instagram新 RSS19K读者 X57.1k关注者 Facebook21K点赞 Bluesky新 在最近的一篇研究论文中,谷歌推出了Beyond Zero,一个“面向AI时代的安全模型”,将零信任扩展到自主AI代理。新方法将访问决策从应用级别转移到单个资源和操作,结合静态授权控制和动态AI驱动决策,为人类和代理实现机器速度的强制。 Beyond Zero使用基于上下文和风险、资源级别的控制,持续授权人类和AI代理的单个操作。新模型基于五个原则:跨接口和API的单个操作和资源级别的授权;静态策略和动态控制的组合用于高风险场景;自动丰富关于用户、操作、数据和风险的上下文;由风险信号触发的自动调查;以及可能要求用户和AI代理提供额外验证或遥测的挑战或遏制措施。 Joseph Valente,前谷歌产品管理总监,和Michal Zalewski,杰出安全研究员,前谷歌员工,在论文中写道: 支撑BeyondCorp的假设——访问者是人类,操作以人类速度发生,应用是信任的正确边界——已不再足够。 2014年,谷歌发布了BeyondCorp白皮书,概述了用零信任模型取代网络边界安全的企业访问方法。要采用最新模型,SaaS供应商需要暴露操作级授权,标准需要成熟,较小的安全团队面临关于误报、意图、审计和成本的困难问题。在LinkedIn上,Valente解释说: Beyond Zero是谷歌内部构建的东西,长期领先于其他任何人的领域之一。大规模地对每个操作进行持续授权起初似乎有些过度。但随后数千名工人变成了数十万名工人。数十万名工人又被数百万代理加入。如此等等…… BeyondCorp与Beyond Zero对比。来源:ACM数字图书馆。 描述“企业安全的新范式”时,谷歌安全工程副总裁Heather Adkins和谷歌高级总监Archana Ramamoorthy解释说: 企业环境现在正进入一个由人工智能塑造的新时代,AI正在改变企业安全运作方式的假设。AI代理正在全球部署,以提高运营速度和生产力。 在文章“Beyond Zero:对于我们其他人”中,Canva安全经理Kane Narraway对Beyond Zero的目标持积极态度,但对普通企业能多快实施它们持怀疑态度。Narraway警告说: 值得明确这篇论文是什么和不是什么。它是理想化的。谷歌表示部署仅限内部,组件尚未全部构建,更多论文即将发布。这与2014年的剧本相同:发布愿景,高层描述架构,并鼓励行业协作构建(……)你不是谷歌,不要试图成为谷歌。 Hacker News上的社区反应迄今大多持怀疑态度,评论者质疑AI驱动授权的可靠性和复杂性。用户stogot评论说: 零信任是确定性的。AI是非确定性的。非确定性访问控制是个糟糕的主意。 一些从业者认为,访问控制传统上是硬性安全边界,而概率决策本质上更难预测、测试和审计。Firas Durri写道: 为AI代理做准备意味着扩展软件中的可审计性和可逆性。 谷歌将Beyond Zero描述为一项持续努力,并表示计划发布关于其实施和运营考虑的更多细节,但尚未公布具体截止日期。 关于作者 Renato Losio 显示更多显示更少 此内容属于云安全主题 相关主题: 开发 架构与设计 DevOps AI、ML与数据工程 企业架构 应用安全 AI安全 谷歌云 云安全 相关编辑内容 相关赞助商 InfoQ热门内容 Kubernetes推广KYAML作为更安全、更一致的处理清单的方式 Airbnb通过服务器驱动架构削减60%认证代码 OpenClaw 2.0发布,简化设置和协作代理 Google Mantis:用于减少误报的代理漏洞扫描框架 Java新闻综述:TornadoVM 6、JReleaser、LangChain4j、Java Operator SDK、JHipster、Yupiik Fusion 个性胜过技能:Adam Wachtel如何构建工程团队 InfoQ通讯 每周二发送上周InfoQ内容摘要。加入超过25万高级开发者的社区。 查看示例 我们保护您的隐私。
查看原文(中文正文为 AI 翻译)
InfoQ Homepage News Beyond Zero: Google Publishes Successor to BeyondCorp Development Beyond Zero: Google Publishes Successor to BeyondCorp Sep 05, 2026 2 min read by Renato Losio Follow us on Youtube232K Followers Linkedin26K Followers InstagramNew RSS19K Readers X57.1k Followers Facebook21K Likes BlueskyNew In a recent research paper, Google introduced Beyond Zero, a "security model for the AI era" that extends Zero Trust to autonomous AI agents. The new approach moves access decisions from the application level to individual resources and actions, combining static authorization controls with dynamic AI-driven decisions to enable machine-speed enforcement for humans and agents. Beyond Zero uses contextual and risk-based, resource-level controls to continuously authorize individual actions by both humans and AI agents. The new model is based on five principles: authorization at the level of individual actions and resources across interfaces and APIs; a combination of static policies and dynamic controls for higher-risk scenarios; automatically enriched context about users, actions, data, and risks; automated investigation triggered by risk signals; and challenges or containment measures that can require additional verification or telemetry from users and AI agents. Joseph Valente, formerly director of product management at Google, and Michal Zalewski, distinguished security researcher and formerly at Google, write in the paper: The assumptions underpinning BeyondCorp — that accessors are human, that actions occur at human speed, and that applications are the correct boundary for trust—are no longer sufficient. In 2014, Google published the BeyondCorp whitepaper, outlining its approach to replacing network-perimeter security with a zero-trust model for enterprise access. To adopt the latest model, SaaS vendors will need to expose action-level authorization, standards need to mature, and smaller security teams face difficult issues around false positives, intent, auditing, and cost. On LinkedIn, Valente explains: Beyond Zero is one of those areas where Google had built something internally that was well ahead of anyone else for a long time. Doing continuous authorization of every action at scale seemed like overkill at first. But then thousands of workers became hundreds of thousands of workers. Hundreds of thousands of workers were joined by millions of agents. And so on... BeyondCorp vs. Beyond Zero. Source: ACM digital library. Describing the "new paradigm for enterprise security," Heather Adkins, VP of security engineering at Google, and Archana Ramamoorthy, senior director at Google, explain: The enterprise landscape is now entering a new era shaped by artificial intelligence, where AI is changing the assumptions around how enterprise security works. AI agents are being deployed globally to increase operational velocity and boost productivity. In the article "Beyond Zero: For The Rest Of Us," Kane Narraway, security manager at Canva, is positive about Beyond Zero's goals, but skeptical about how quickly ordinary enterprises can implement them. Narraway warns: It’s worth being clear about what this paper is and isn’t though. It’s aspirational. Google says deployments are internal-only, the components aren’t all built, and more papers are coming. This is the same playbook as 2014: publish the vision, describe the architecture at a high level, and encourage the industry to build towards it collaboratively (...) You aren’t Google and don’t try to be. The community reaction on Hacker News has been so far largely skeptical, with commenters questioning the reliability and complexity of AI-driven authorization. User stogot comments: Zero trust is deterministic. AI is non-deterministic. Non-deterministic access controls are a terrible idea. Some practitioners argue that access control is traditionally a hard security boundary, whereas probabilistic decisions are inherently harder to predict, test, and audit. Firas Durri writes: Preparing for AI agents means expanding auditability and reversibility in software. Google presents Beyond Zero as an ongoing effort and says it plans to publish further details on its implementation and operational considerations, but no specific deadlines have been published. About the Author Renato Losio Show moreShow less This content is in the Cloud Security topic Related Topics: Development Architecture & Design DevOps AI, ML & Data Engineering Enterprise Architecture Application Security AI Security Google Cloud Cloud Security Related Editorial Related Sponsors Popular across InfoQ Kubernetes Promotes KYAML as a Safer, More Consistent Way to Work with Manifests Airbnb Cuts Authentication Code by 60% with Server Driven Architecture OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents Google Mantis: an Agentic Vulnerability Scanning Harness for Reducing False Positives Java News Roundup: TornadoVM 6, JReleaser, LangChain4j, Java Operator SDK, JHipster, Yupiik Fusion Personality Over Skillset: How Adam Wachtel Builds Engineering Teams The InfoQ Newsletter A round-up of last week’s content on InfoQ sent out every Tuesday. Join a community of over 250,000 senior developers. View an example We protect your privacy.

来源报道 · 1 篇 · 以下链接均前往原始媒体

← 返回精选动态 原文

更多内容