01 / THE SIGNAL

我们发现了什么

发布 HN:Traceforce(YC S26)——面向 AI 应用的全公司安全监控。HN 大家好,我们是 Traceforce(https://www.traceforce.ai/)的创始人 Xia 和 Varun。

  • 来源:Hacker News(发现于 2026-07-17)
  • 证据等级:D · 发现产品或需求信号,暂未获得可核验的商业证据。
  • 商业模式:API / Usage-based
  • 主题:独立产品
  • 初筛评分:27.5/100 · 收录 1 次
#独立开发#待验证#产品发现
02 / SOURCE & EVIDENCE

证据,比故事更重要。

发现产品或需求信号,暂未获得可核验的商业证据。

规则清洗与初筛,未经人工商业核验。原文语境、实际客户和付费情况仍需自行验证。

引用与数字披露

来源类型(原作者自述/第三方测算/媒体转引)需采集端标注,本版尚未落字段。

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中文辅助译文(全文)

HN 大家好,我们是 Xia 和 Varun,Traceforce(https://www.traceforce.ai/ )的创始人。Traceforce 可直接在所有设备(笔记本、沙盒、虚拟机)上提供对 ChatGPT、Claude 等 AI 应用的可见性和控制能力——它不仅能发现哪些应用正在被使用,还能发现它们如何通过 MCP 与其他数据源相连。我们还提供了一个开源的动态 MCP 渗透测试工具 https://github.com/traceforce/mcp-xray 来检测存在漏洞的 MCP。

Traceforce 的目标是: - 为公司员工提供一种标准化方式,确保其设备上运行的 AI 软件是安全运行的; - 为公司的安全团队提供 AI 软件在公司设备上活动的可见性,并尽早检测和阻止不安全操作及安全漏洞。

Traceforce 的工作原理 1. Traceforce 以轻量级二进制程序和浏览器扩展的形式安装在每台设备上。 2. 在 30 分钟内,设备就会向公司账户上传实时数据,在仪表板上展示公司所有设备上运行的所有 AI 代理/应用。 3. 公司安全人员可以实时监控所有代理的活动,实施控制,并在任何安全风险出现时第一时间收到告警。

视频演示请见:https://youtube.com/watch?v=IdK2WKg7kaM

Traceforce 的灵感来自于 Xia 在一家名为 Clumio 的初创公司担任工程总监的经历(该公司于 2024 年 10 月被 Commvault 收购)。在不拖慢团队成员工作速度的前提下,监控他们使用 AI 的方式,是 Clumio 的首要任务。在与 50 多位 CISO 和 CIO 交流后,我们清楚地意识到,这是当下各行业都亟需的解决方案。我们不断听到这样的声音:新 AI 功能被采纳的速度和广度如此之快,以至于可见性和控制力根本无法跟上。

Traceforce 对我们监控和收集的内容保持透明。默认情况下,Traceforce 仅收集设备上运行的 AI 应用、MCP 和工具的元数据与遥测信息。安全团队可以开启相关选项,以检查工具调用,从而检测、警告或阻止预定义的高风险或潜在破坏性操作。所有内容检查都在设备本地完成。除非组织的安全管理员明确配置,否则用户提示词永远不会被存储。我们与产品的最终用户紧密协作;一旦他们了解了被监控/共享的内容,反而会对设备上拥有一层强大的安全保护感到安心,因为这可以防止安全事件的发生。这让他们可以专注于工作,而不必担心在不知情的情况下发生数据泄露和入侵。

Traceforce 的二进制程序使用 Go 构建,浏览器扩展则使用 Node JS 编写。最难的部分是构建 AI 应用、MCP 和工具之间的完整连接图,然后识别这些连接所引入的漏洞和攻击路径。传统的安全工具不够用:EDR 看到的是进程,CASB 看到的是网络流量,但两者都无法看到 AI 应用内部发生的应用层活动。我们之所以能实现这一点,是因为我们理解了每一个应用的配置和日志。这是一个劳动密集型的过程,因为每个应用都不一样,而且 AI 功能也在频繁变化。

目前 Traceforce 已在 10 家组织的 1,000 多台设备上部署。平均而言,我们会在每台设备上发现超过 15 个 AI 应用,每个应用连接到 5-10 个 MCP。我们已经帮助客户识别出 MCP 配置中暴露的明文密钥,防止 API 密钥通过 AI 生成的代码泄露,并在开发人员执行诸如 "DROP TABLE" 之类的潜在破坏性命令之前发出警告。我们的 "警告并确认" 做法尤其受到欢迎——它既让开发人员能够自由工作,又帮助他们避免代价高昂的错误。

我们希望与正在快速采用 AI 编程助手、ChatGPT、Claude 和 MCP 的中小型企业(200+ 名员工)中的安全、IT 和 AI 平台团队合作。如果你正在苦于了解员工使用哪些 AI 工具来提升生产力,或者需要一种切实可行的方式来降低 AI 相关安全风险而不拖慢大家,我们非常愿意交流。你可以通过 https://www.traceforce.ai 注册免费试用,或直接联系我们安排演示、讨论你的环境。

译文由上游机器翻译生成,可能有误;判断请以英文原文为准。

英文原文(来源本站未改写)

Hey HN, we’re Xia and Varun, the founders of Traceforce ( https://www.traceforce.ai/ ).Traceforce provides visibility and control over AI apps such as ChatGPT, Claude etc directly on all devices (laptops, sandboxes, virtual machines) by discovering not just which apps are being used but also how they are connected to other data sources via MCPs.We also have an open-source dynamic MCP pentesting tool https://github.com/traceforce/mcp-xray to detect vulnerable MCPs.

The purpose of Traceforce is to: - Give a company’s employees a standardized way to ensure that AI software running on their device is operating safely - Give the company’s security team visibility of the activities of AI software on the company’s devices, and to detect and prevent unsafe actions and security breaches as early as possible.How Traceforce works 1.Traceforce is installed on each device as a lightweight binary and browser extension. 2.Within 30 minutes, the device is uploading live data to the company profile, displaying all the AI agents/apps running across all company devices on a dashboard. 3.

Company security staff can monitor the activity of all the agents in real time, implement controls, and be alerted to any security risks as soon as they arise.Here’s the video demo: https://youtube.com/watch?v=IdK2WKg7kaM The inspiration for Traceforce came via Xia’s experience as Director of Engineering at a startup called Clumio (which was acquired by Commvault in Oct 2024).Being able to monitor how team members are using AI without slowing them down was a top priority at Clumio.After speaking with 50+ CISOs and CIOs, it became clear that this is a much-needed solution right now across industries.

We keep hearing that new AI features are being adopted so quickly and so broadly that visibility and control just can't keep up.Traceforce is transparent about what we monitor and collect.By default, Traceforce collects only metadata and telemetry about the AI applications, MCPs, and tools running on a device.Security teams can enable options to inspect tool calls for the purpose of detecting, warning on, or blocking predefined high-risk or potentially destructive actions.All content inspection happens locally on the device.User prompts are never stored unless explicitly configured by the organization's security administrators.

We work closely with end-users of the product, and once they understand what is being monitored/shared, they actually have great comfort that they have a powerful layer of protection on their device to prevent security incidents.It enables them to just focus on their work without worrying about what leaks and breaches may be happening under the hood without their awareness.The Traceforce binary is built using Go and the browser extension is written in Node JS.The hardest part is building a complete connectivity graph between AI applications, MCPs, and tools, then identifying the vulnerabilities and attack paths introduced by those connections.

Traditional security tools fall short: EDRs see processes, CASBs see network traffic, but neither has visibility into the application-level activity happening inside AI apps.The way we got it to work was by understanding the configurations and logs of each and every app.It’s a labor intensive process because every app is different and AI features change frequently.Traceforce is currently deployed across more than 1,000 devices at 10 organizations.On average, we discover over 15 AI applications per device with each application connected to 5-10 MCPs.

We've helped customers identify exposed plaintext secrets in MCP configurations, prevent API keys from leaking through AI-generated code, and warn developers before executing potentially destructive commands such as “DROP TABLE”.Our "warn and acknowledge" approach has been especially well received, giving developers the freedom to work while helping them avoid costly mistakes.We're looking to work with security, IT, and AI platform teams at small to medium enterprises (200+ employees) that are rapidly adopting AI coding assistants, ChatGPT, Claude, and MCPs.

If you're struggling to understand what AI tools people use to boost their productivity or need a practical way to reduce AI-related security risk without slowing folks down, we'd love to talk.You can get started with a free trial at https://www.traceforce.ai or reach out directly to schedule a demo and discuss your environment.

出处https://news.ycombinator.com/item?id=48937020抓取日期 · 采集源 Hacker News

03 / EVIDENCE GAPS

这条还缺什么证据?

下面每条都由本条已有字段推出(等级、理由、商业模式、来源次数、是否演示), 本站不生成推测性结论;通用验证方法放在方法论页。

  • 可核验的收入或付费证据查官网定价页与付费口径;第三方数据源(如 GetLatka)只作旁证,需标注来源与时点。
  • 只有单一来源找一手站点或其他渠道是否重复出现同一产品;社区热帖数量不等于商业进展。

通用验证清单(谁有这个问题/谁愿意付费/一个人能交付哪一小步)见我们的筛选方法。

04 / SIGNAL HISTORY

发现时间线