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NewsTopic · AI智能体隐私安全Material3 min readDisconfirmAI Editorial

OpenAI and Meta Compete to Claim AI Agents Are More Privacy-Friendly, But Security Incidents Keep Occurring

AI agent vendors are using privacy commitments as a competitive weapon to undercut each other: Meta claims Muse is safer than its predecessor, while OpenAI claims Dots is safer than Muse. However, incidents involving zero-day vulnerabilities in Muse, unauthorized reading of private messages, and leakage of user addresses suggest that whether these promises can be fulfilled remains an open question.

2026-10-10 21:00 GMT+8

For AI agents to function effectively, they must have extensive access to users' private information. This creates a paradox: the more useful the product, the more data users need to hand over, and the higher the threshold for trust becomes. Hayden Field, senior AI reporter at The Verge, noted in an analysis on October 10, 2026, that AI companies are attempting to bridge this gap with privacy commitments, adopting strategies that increasingly resemble an arms race.

This pattern repeated twice within two months. When Meta launched Muse, CEO Mark Zuckerberg declared it was built from scratch with privacy and security in mind, positioning it as a secure alternative to the previous generation's OpenClaw. Nat Friedman, head of product at Superintelligence Labs, wrote on X that Muse’s goal was to create something like OpenClaw but one that was safe, secure, easy to use, and scalable to billions of people. User data is stored in a secure virtual machine (VM), which Zuckerberg described as an isolated Linux computer equipped with a browser, CPU, memory, and storage.

However, problems emerged shortly after launch. According to Apptopia data, Muse gained 600,000 daily active users in the US within weeks and topped the App Store charts, but a security researcher quickly identified a zero-day vulnerability that could allow control over Muse (which has since been patched). According to 404 Media, multiple serious security issues arose at the last minute before launch, one of which could have allowed users to access Meta’s internal databases. An Inc. reporter reported that Muse uploaded and read his private messages without being asked; a YouTuber stated that it provided his address to strangers via Marketplace through its own features. Wired reported that the platform creates detailed profiles of all your friends and family. Crucially, Muse defaults to allowing Meta to train models on user input data, although users can opt out.

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When OpenAI released Dots at its DevDay event in late September, it directly leveraged Muse’s privacy controversies. Alexander Embiricos, OpenAI’s Codex product lead, stated on stage that OpenAI is focused on building the most trustworthy, safe, and reliable assistant. CEO Sam Altman demonstrated how users could set rules for their Dots, such as prohibiting purchases above a certain amount. Glen Coates, head of the app platform, said: "I think we’re in a different position to Meta because they don’t have an AI product with 1.2 billion users," implying that Meta’s user base amplifies the consequences of any mistakes. For enterprise customers, OpenAI executives presented frameworks allowing for stronger data controls and zero-data-retention policies.

However, Field also pointed out the limitations of this comparison: Dots is currently only available on ChatGPT subscription tiers costing $100 or more, meaning its user base is far smaller than Muse’s, and the lack of privacy scandals may simply reflect a smaller exposure surface. The Verge journalist Allison Johnson expressed discomfort entering bank information, as the agent actively solicits this data when performing relevant tasks.

Currently, AI vendors seem to be betting on a three-part strategy to drive agent adoption: make the product useful, make the image cute to offset intrusiveness, and promise privacy protection—then hope these promises hold up.

Sources

  • theverge.comThe Verge↗
Topic

AI智能体隐私安全

OpenAI与Meta正将“隐私安全”作为AI智能体(如Dots与Muse)的核心竞争卖点,但实际部署中频发的零日漏洞与未经同意的数据读取事件,揭示了厂商承诺与技术现实间的巨大鸿沟。尽管学术界提出了如GAAP等执行环境以强制隔离敏感数据,且…

4 steps1 piecesUpdated 2026-10-25 14:41

How it got here

  1. 2026-08Meta发布Muse智能体,CEO扎克伯格宣称其“从零开始为隐私和安全构建”,旨在替代前代OpenClaw并解决安全问题。theverge.com ↗
  2. 2026-09OpenAI在DevDay发布Dots智能体,CEO奥特曼指责Meta未能保护用户数据,并声称Dots将设定前沿AI隐私新标准。theverge.com ↗
  3. 2026-10-05北卡罗来纳大学夏洛特分校团队发布AgentPrivArena研究,指出现有基准测试低估了真实工作流中的轨迹级隐私风险。arxiv.org ↗

What is still unsettled

  • OpenAI的Dots是否会在大规模用户接入后重现类似的隐私泄露或越权访问问题?
  • 学术界提出的GAAP等确定性隐私保护执行环境能否被商业巨头采纳并集成到主流产品中?
  • 监管机构是否会针对AI智能体的“默认数据训练”选项出台更严格的知情同意规范?
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