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Anthropic发布企业前沿安全架构EFS:零数据留存与跨会话检测

Anthropic Introduces Enterprise Frontier Safeguards (EFS): Zero-Data-Retention Privacy Plus Cross-Session Misuse Detection

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直击企业AI落地最大的隐私合规痛点,EFS架构设计提供了可落地的零数据留存方案,值得关注企业级部署的从业者深入了解。

Enterprise AI buyers have been stuck between two things they both need. Regulated teams need a zero data retention (ZDR) guarantee, so no prompt or agent transcript sits on a vendor’s servers. Security teams need misuse detection, which historically required the vendor to hold that same data long enough to correlate it.

企业 AI 采购方一直卡在两个他们都需要的事物之间。受监管的团队需要零数据留存(ZDR)保证,因此没有任何提示词或智能体对话记录会停留在供应商的服务器上。安全团队则需要滥用检测,而历史上这需要供应商持有相同的数据足够长的时间以便进行关联分析。

This week, Anthropic announced Enterprise Frontier Safeguards (EFS), an architecture that tries to give both. EFS stores monitoring data in cloud infrastructure the customer controls, not Anthropic’s. Detection stays with Anthropic. Custody, keys, and human review stay with the customer.

本周,Anthropic 宣布了企业前沿保障措施(EFS),这是一种试图同时满足上述两者的架构。EFS 将监控数据存储由客户控制的云基础设施中,而非 Anthropic 的基础设施中。检测功能仍由 Anthropic 负责。数据的保管、密钥以及人工审核则由客户保留。

Is it deployable today? Not yet. EFS rolls out in phases with the goal of broad availability later this fall, and access is request-based. Until it ships, eligible customers can run Claude Fable 5 and Fable 5.1 under ZDR.

它今天可以部署吗?还不行。EFS 将分阶段推出,目标是在今年秋季晚些时候实现广泛可用,且访问权限基于申请。在正式交付之前,符合条件的客户可以在 ZDR 模式下运行 Claude Fable 5 和 Fable 5.1。

The technical problem EFS is solving

EFS 正在解决的技术问题

Anthropic’s stated reason for retention is detection quality, not training data. The company introduced 30-day data retention starting with Fable 5, and says plainly that it has never trained on enterprise data without explicit permission.

Anthropic 声明留存数据的原因是检测质量,而非训练数据。该公司从 Fable 5 开始引入了 30 天的数据留存策略,并明确表示,未经明确许可,他们从未使用过企业数据进行训练。

The argument for holding data is narrow and worth restating. The most sophisticated misuse Anthropic has observed spreads across many tasks, sessions, and accounts, including cases involving stolen or misappropriated enterprise credentials. Running an automated classifier on each interaction and instantly discarding it cannot catch that shape of attack. Correlation needs a window. Anthropic has documented this pattern in its own espionage disruption work.

支持保留数据的论点范围狭窄,值得重申。Anthropic 观察到的最复杂的滥用行为跨越多个任务、会话和账户,包括涉及被盗或不当使用的企业凭证的案例。对每次交互运行自动分类器并立即丢弃无法捕捉这种形态的攻击。关联分析需要一个时间窗口。Anthropic 在其自身的间谍活动阻断工作中记录了这一模式。

Regulated customers understood the security logic and still could not adopt it. So Anthropic moved the window rather than removing it.

受监管的客户理解了安全逻辑,但仍无法采用。因此,Anthropic 移动了该窗口,而不是将其移除。

What EFS actually changes

EFS 实际做出的改变

Anthropic built EFS with more than 100 customers across financial services, healthcare, manufacturing, telecom, law, retail, and the public sector, together with AWS, Google Cloud, and Microsoft Azure. Contributors included the Analysis and Resilience Center for Systemic Risk, whose membership includes CISOs at Goldman Sachs, Morgan Stanley, Citi, Bank of America, and Wells Fargo, plus teams at Comcast, KPMG, Mastercard, Salesforce, and Visa. Anthropic says the design conversations covered a quarter of the Fortune 100 and every US global systemically important bank.

Anthropic 与来自金融服务、医疗保健、制造业、电信、法律、零售和公共部门的 100 多家客户,以及 AWS、Google Cloud 和 Microsoft Azure 共同构建了 EFS。贡献者包括系统性风险分析与弹性中心(Analysis and Resilience Center for Systemic Risk),其成员包括高盛、摩根士丹利、花旗银行、美国银行和富国银行的 CISO,以及康卡斯特、毕马威、万事达卡、Salesforce 和 Visa 的团队。Anthropic 表示,设计讨论涵盖了四分之一财富百强企业和所有美国全球系统重要性银行。

Three design decisions came out of that process:

该过程产生了三项设计决策:

  • Storage moves to the customer: Activity data used for monitoring can live in the customer’s own cloud account, under their encryption keys, access policies, and audit logging. Enterprises told Anthropic that onboarding another trusted data vendor triggers customer notifications and contract updates, so the architecture avoids creating one.
  • Review moves to the customer: When monitoring detects a pattern worth attention, the signal goes directly to the customer. Anthropic’s position is that automated review handles the scan; a person still adds value confirming real misuse and clearing false positives, and in regulated environments that person must be cleared for privileged legal material, non-public information, or drug-safety reports. EFS runs automated safety monitoring with no Anthropic human review required.
  • Detection stays with Anthropic: Automated systems analyze a rolling window of traffic for serious misuse, specifically attempts to build offensive cyber or biological capability and signs of stolen or leaked credentials.
  • 存储由客户掌控:用于监控的活动数据可存储在客户自己的云账户中,受其加密密钥、访问策略和审计日志保护。Anthropic 表示,企业客户称引入另一个可信的数据供应商会触发客户通知和合同更新,因此该架构避免了创建此类供应商。
  • 审核由客户执行:当监控检测到值得关注的模式时,信号将直接发送给客户。Anthropic 的立场是,自动化审核负责扫描;人工仍需通过确认真正的滥用行为并排除误报来增加价值,而在受监管的环境中,此人必须获得处理特权法律材料、非公开信息或药物安全报告的许可。EFS 运行自动化安全监控,无需 Anthropic 人工审核。
  • 检测仍由 Anthropic 负责:自动化系统分析滚动窗口内的流量,以发现严重的滥用行为,特别是构建网络攻击或生物能力的尝试,以及被盗或泄露凭据的迹象。

Where this sits in the model roadmap

这在模型路线图中的位置

EFS is one of three enterprise concessions shipped alongside Claude Fable 5.1 and Mythos 5.1. The other two are pricing and precision. Fable 5.1 cut cache reads by 75% to $0.25 per million tokens, which works out to roughly 25% lower cost on typical workloads and up to about 45% on highly agentic ones. Its cybersecurity safeguards now produce around 60% fewer interventions per Claude Code session than Fable 5’s, partly because Fable 5.1 is permitted to identify software vulnerabilities without developing exploits for them.

EFS 是与 Claude Fable 5.1 和 Mythos 5.1 一同发布的三项企业让步之一。另外两项是定价和精度。Fable 5.1 将缓存读取量减少了 75%,降至每百万令牌 0.25 美元,这在典型工作负载下成本降低了约 25%,在高度代理化的工作负载下最高可降低约 45%。其网络安全保障措施现在每个 Claude Code 会话产生的干预措施比 Fable 5 少约 60%,部分原因是 Fable 5.1 被允许识别软件漏洞而无需为其开发利用代码。

Key Takeaways

关键要点

  • EFS pairs ZDR-equivalent privacy with automated detection that spans sessions and accounts.
  • Activity data lands in the customer’s own S3, Azure Blob, or Google Cloud Storage bucket.
  • Flags route to the customer; no Anthropic human review is required.
  • Customer-owned storage, customer-managed keys, and automated review are each opt-in.
  • Anthropic charges nothing for EFS; the customer’s cloud provider bills storage and egress.
  • EFS 将等同于 ZDR(零数据保留)的隐私性与跨会话和账户的自动化检测相结合。
  • 活动数据存储于客户自己的 S3、Azure Blob 或 Google Cloud Storage 存储桶中。
  • 警报路由至客户;无需 Anthropic 人工审核。
  • 客户拥有的存储、客户管理的密钥和自动化审核均为可选功能。
  • Anthropic 对 EFS 不收取任何费用;客户的云提供商收取存储和出站流量费用。

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The post Anthropic Introduces Enterprise Frontier Safeguards (EFS): Zero-Data-Retention Privacy Plus Cross-Session Misuse Detection appeared first on MarkTechPost.

Anthropic 推出企业级前沿安全护栏(EFS):零数据保留隐私与跨会话滥用检测功能,本文由 MarkTechPost 首发。

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