企业软件应用的下一阶段，就是赋予员工那些以往需要专门工程团队才能实现的能力。如今，人工智能工具能够帮助员工开发应用程序、实现流程自动化并创建智能代理。不过，每一项新能力的引入都会带来关于数据访问权限、系统依赖性以及控制机制等方面的诸多问题。
The next phase of enterprise software adoption is giving employees capabilities that once required dedicated engineering teams. AI tools can now help workers build applications, automate processes, and create agents. But each new capability introduces questions about data access, dependencies, and control.
对于网络安全领域的投资者而言，这一趋势意味着一个绝佳的机遇：他们可以投资那些致力于为新型工作环境构建安全基础设施的企业。
For cybersecurity investors, this shift presents an opportunity to back companies building security infrastructure for a different kind of workplace.
TechCrunch率先报道了Pluto Security结束隐身状态的消息，使这家企业受到广泛关注。据称，该公司目前已实现了数百万美元的年度经常性收入，其服务还覆盖了全球超过100万个终端设备。
TechCrunch was the first to report the news of Pluto Security’s emergence from stealth. It brought attention to a company that says it has already reached multi-million-dollar annual recurring revenue.
Pluto Security宣布已成功筹集总计4200万美元的资金，并拥有了40多家企业客户，其中包括Oscar Health、Workato、Sixt、AlphaSense以及多家财富500强企业。
It says it has secured more than 1 million endpoints globally. Pluto announced $42 million in total funding and more than 40 enterprise customers.
此次融资正是顺应日益增长的市场需求。Pluto Security最新一轮融资规模约为3400万美元，由Jump Capital领投；此前其种子轮融资则由TLV Partners牵头，另有多家投资机构参与。公司计划利用这笔新资金继续推进产品研发、技术研究以及在美国市场的业务拓展。
They include Oscar Health, Workato, Sixt, AlphaSense, and Fortune 500 organizations. A Funding Round Built Around a Growing Need Pluto’s latest financing is an approximately $34 million round led by Jump Capital. TLV Partners led its seed round, with participation from additional investors. The company plans to use the new capital to continue investing in its product, research, and expansion in the United States.
Pluto Security的核心业务领域是“人工智能工作空间”——即员工使用各类人工智能工具来开发应用、创建智能代理、实现流程自动化并构建工作流的环境。
The company’s focus is the AI workspace. That is the environment created when employees use AI tools and build applications, agents, automations, and workflows.
该公司的目标是为整个工作空间内的各类活动提供可视化管理、基于上下文的风险评估以及实时控制能力，甚至涵盖与之相关的整个供应链环节。
Pluto aims to provide visibility, contextual risk assessment, and real-time control across those activities. That includes the supply chain surrounding them.
首席执行官兼联合创始人沙哈尔·巴哈特指出，当员工采用新工具的速度远超安全团队对其进行评估的速度时，传统的安全防护模式便难以奏效。
CEO and co-founder Shahar Bahat believes traditional security approaches struggle when employees adopt new tools faster than security teams can evaluate them.
“传统的安全机制旨在阻止各类风险，但在业务发展速度远超安全团队对新工具评估能力的情况下，这种模式便不再适用，”巴哈特说道。
“Security has traditionally been built around stopping things, but that model breaks down when the business is moving faster than security can evaluate every new tool,” Bahat said.
该公司的解决方案是：首先了解用户真正想要实现的目标，然后根据这些目标来决定哪些地方需要设置安全控制措施。
The company’s alternative is to understand what users are trying to accomplish and use that context to determine where controls are necessary.
Pluto 的目标并非将“阻止用户访问某些功能”作为默认的应对措施，而是帮助安全团队在限制高风险行为的同时，支持员工的合法工作。
Rather than making blocking the default response, Pluto aims to help security teams support legitimate work while limiting risky activity.
为什么人工智能会改变企业端点的功能？传统的企业终端已不再仅仅是员工访问获批应用程序的场所——如今，像 Claude Code、Codex、Cowork、Lovable 和 Base44 这样的工具让员工无需依赖传统的开发团队，就能自行构建应用程序和工作流程。这些工具支持各种功能（如技能扩展、插件、模型等）。Pluto 表示，其客户中的员工在开发应用程序时使用了数百种供应链组件。
Why AI Changes the Endpoint The traditional enterprise endpoint is becoming a place where employees do more than access approved applications. Tools such as Claude Code, Codex, Cowork, Lovable, and Base44 allow workers to build applications and workflows without traditional development teams. Those activities can involve skills, extensions, packages, MCPs, models, and other dependencies. Pluto says employees across its customer base are using hundreds of supply chain components while building thousands of applications.
Pluto 的平台结合了终端行为的实时监控、上下文分析以及安全策略的即时执行能力：安全团队可以阻止恶意行为的发生，同时限制不安全的操作，从而保护敏感数据或凭证的安全，而不会干扰员工的正常工作。
Its platform combines endpoint visibility, contextual analysis, and real-time enforcement. Security teams can block malicious skills and restrict unsafe agent actions. They can prevent access to sensitive data or credentials without interrupting legitimate work.
对企业来说，真正的挑战在于不仅要了解员工使用了哪些工具，还要清楚这些工具能够访问哪些资源以及具备哪些功能。Pluto 的平台正是针对这种与人工智能相关的复杂使用场景而设计的。
For enterprises, the challenge is to understand not only which tools employees use but also what those tools can access and do. Pluto is positioning its platform around that broader picture of AI-related activity.
分销策略：一个重要的竞争因素 Pluto 的战略并不仅限于软件本身；该公司采用了一种以社区为核心的市场推广方式，将产品与安全研究及免费资源相结合进行推广。其“Plutonium AI 供应链安全平台”基于自主研发的 RisksDB 数据库，帮助安全专业人士评估各种组件（如技能扩展、插件等）所带来的风险。Pluto 表示，已有数千名安全专业人士在使用并持续为该平台贡献内容。
Distribution as a Competitive Consideration Pluto’s strategy extends beyond its software. The company has developed a community-driven, inbound go-to-market approach. It combines its product with security research and free resources. Its Plutonium AI supply chain security hub is powered by proprietary RisksDB. It helps security professionals assess risks across components such as skills and extensions. Pluto says thousands of security professionals use and contribute to the resource.
Jump Capital 的合伙人 Saaya Pal 在解释该公司为何投资 Pluto 时，提到了 Plutonium 的这一优势。
Saaya Pal, partner at Jump Capital, pointed to Plutonium when explaining why the firm backed the company.
“Pluto 为网络安全构建了根本不同的 GTM 引擎，”帕尔说。“最清晰的例子是钚（Plutonium），这是他们的 AI 风险数据库：当时没有良好的公开数据能说明 AI 工具在企业内部到底在做什么，于是团队自行构建了该数据库，并免费提供了其中的一部分。”帕尔表示，每周有数百名从业者使用该资源。她说，Pluto 的销售管道现在大部分是入站的。
“Pluto has built a fundamentally different GTM engine for cybersecurity,” Pal said. “The clearest example is Plutonium, their AI risk database: there was no good public data on what AI tools are actually doing inside enterprises, so the team built it and gave part of it away.”Pal said hundreds of practitioners use the resource every week. She said most of Pluto’s pipeline now comes inbound.
她还强调了尽早解决分销问题的重要性，以免在将其纳入公司运营模式时变得更加困难。
She also emphasized the importance of solving distribution early, before it becomes more difficult to build into a company’s operating model.
公司背后的人物 巴哈特与塔尔·奥弗·雷格夫（Tal Ofer Regev）和吉尔·马曼（Gil Maman）共同创立了 Pluto。他们的背景涵盖微软、Palo Alto Networks、Bridgecrew 以及以色列的第 8200 部队。
The People Behind the Company Bahat founded Pluto with Tal Ofer Regev and Gil Maman. Their backgrounds span Microsoft, Palo Alto Networks, Bridgecrew, and Israel’s Unit 8200.
巴哈特此前在微软和 Palo Alto Networks 担任高级网络安全领导职务。巴哈特是福布斯 30 Under 30 荣誉获得者。
Bahat previously held senior cybersecurity leadership roles at Microsoft and Palo Alto Networks. Bahat is a Forbes 30 Under 30 honoree.
雷格夫此前担任 Palo Alto Networks 研发副总裁，管理超过 150 人。
Regev previously served as vice president of research and development at Palo Alto Networks, managing more than 150 people.
马曼在以色列军事情报部门担任技术领导岗位超过六年，负责高级网络研究和安全工程。Pluto 已发展为在美国和以色列拥有超过 50 名员工。
Maman spent more than six years in Israeli Military Intelligence in technical leadership roles. They covered advanced cyber research and security engineering.
其投资者包括 Jump Capital、TLV Partners、Skinos、AlphaDrive Ventures、Ansa Capital、MTF 和 Ariel Maislos。还包括 Armis 公司的 Yevgeny Dibrov 和 Nadir Izrael，以及 Descope 的 Slavik Markovich。其他投资者包括 Andreessen Horowitz 的 Asaf Ezra，以及 Vine Ventures 的 Sharin Fisher Dibrov 和 Idan Tendler。
Pluto has grown to more than 50 employees across the United States and Israel. Its investors include Jump Capital, TLV Partners, Skinos, AlphaDrive Ventures, Ansa Capital, MTF and Ariel Maislos. They also include Yevgeny Dibrov and Nadir Izrael of Armis, and Slavik Markovich of Descope. Others are Asaf Ezra of Andreessen Horowitz, and Sharin Fisher Dibrov and Idan Tendler of Vine Ventures.
一个仍在形成中的市场 Rona Segev 是 TLV Partners 的联合创始人兼管理合伙人。她说，Pluto 为安全团队提供了一种理解 AI 活动并精准应对的方式，而不仅仅是阻止创新。
A Market Still Taking Shape Rona Segev is co-founder and managing partner at TLV Partners. She said Pluto offers security teams a way to understand AI activity and respond precisely rather than simply blocking innovation.
“我们注意到的，是Pluto在应对快速增长的问题时采取了根本不同的方法，”塞格夫说。“随着人工智能重塑人们的工作方式，Pluto为安全团队提供了一种理解正在发生的事情并精准行动的途径，而不仅仅是阻碍创新。”Pluto的下一阶段将专注于产品开发、研究以及在美国的扩张。
“What stood out to us about Pluto was a fundamentally different approach to a rapidly growing problem,” Segev said. “As AI reshapes how people work, Pluto gives security teams a way to understand what’s happening and act with precision, rather than simply blocking innovation.”Pluto’s next phase will focus on product development, research, and U.S. expansion.
其报告的收入、终端覆盖范围和企业客户群为这一努力提供了起点。其长期机遇将取决于组织采用人工智能工具的程度。它还将取决于组织对这些工具所赋能的工作所需的可见性和控制程度。
Its reported revenue, endpoint coverage, and enterprise customer base provide a starting point for that effort. Its longer-term opportunity will depend on how organizations adopt AI tools. It will also depend on how much visibility and control they require over the work those tools enable.