---
格式版本: 2
标题: "AWS Clean Rooms supports minimum aggregation thresholds in custom analysis rules"
原文链接: "https://aws.amazon.com/cn/about-aws/whats-new/2026/08/aws-clean-rooms-minimum-aggregation-custom-analysis-rules/"
发布日期: "2026-08-13"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:original_script_field"
发布时间证据: "postDateTime: 2026-08-13T12:00:00Z"
发布时间校准原因: "AWS官方公告页元数据中的postDateTime即为发布时间，且URL路径2026/08与之吻合。"
发布时间校准置信度: "1"
发布时间候选数量: 1
发布时间严格候选数量: 0
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-14T18:49:20+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 2814
发现时间: "2026-08-14T18:47:18+08:00"
入库时间: "2026-08-14T10:49:25.275Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://aws.amazon.com/new"
匹配关键词:
  []
相关厂家:
  - "AWS"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 10
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "内容为AWS Clean Rooms数据隐私功能更新，与超节点/AI Rack/机柜级AI基础设施完全无关，无任何相关技术或商业信号。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-14T18:49:48+08:00"
AI主题相关性: 0
AI来源权威性: 10
AI新颖性: 0
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 0
AI摘要: "AWS Clean Rooms 现支持在自定义分析规则中设置最小聚合阈值，数据提供者可指定身份列和最低计数，防止查询暴露个人或小群体信息。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T03:31:27.607Z"
采集批次: "2026年8月14日18点30分41秒"
采集批次ID: "20260814-183041-680"
去重键: "https://aws.amazon.com/cn/about-aws/whats-new/2026/08/aws-clean-rooms-minimum-aggregation-custom-analysis-rules"
---

AWS Clean Rooms now supports [minimum aggregation thresholds for the Custom analysis rule type](https://docs.aws.amazon.com/clean-rooms/latest/userguide/analysis-rules-custom.html). Minimum aggregation helps protect the privacy of individual data subjects by preventing queries from returning results about individuals or small groups. With this launch, organizations can enforce minimum aggregation on custom SQL queries, ensuring that every row a query outputs represents at least the specified number of distinct values (e.g., user IDs). Data providers in a collaboration can specify their identity column and a minimum identity count to enforce on a query’s output, with the option to set a higher threshold for specific columns.

Previously, enforcing minimum aggregation thresholds on custom SQL required data providers to rely on pre-approved analysis templates and manual code reviews before queries could run. Now, data providers can configure the minimum aggregation threshold for custom SQL using the Custom analysis rule type, without using pre-structured queries or manual approval processes. Additionally, data providers can specify which columns can be filtered or joined across datasets. For example, a publisher collaborating with an advertiser for media planning use cases can enable ad-hoc queries to run on their data—and small, rural zip codes with fewer than 1,000 common users can be automatically filtered out from the result to help protect user privacy.

AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the [AWS Regions](https://docs.aws.amazon.com/general/latest/gr/clean-rooms.html#clean-rooms_region) table. To learn more about collaborating with AWS Clean Rooms, visit [AWS Clean Rooms](https://aws.amazon.com/clean-rooms/).