---
格式版本: 2
标题: "SageMaker MLflow now supports customer managed keys"
原文链接: "https://aws.amazon.com/cn/about-aws/whats-new/2026/08/sagemaker-mlflow-custom-keys/"
发布日期: "2026-08-24"
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: 2026-08-24T19:26:00Z"
发布时间校准原因: "该候选来自原始脚本字段中的postDateTime，明确标注为文章发布时间，符合发布时间判定优先级。"
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: "2026-08-25T17:27:46+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: 5830
发现时间: "2026-08-25T17:27:42+08:00"
入库时间: "2026-08-25T09:27:52.815Z"
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: 20
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "内容为AWS SageMaker MLflow支持客户管理密钥的加密功能，与超节点/AI Rack/机柜级AI基础设施等主题完全无关，属于明显无关资料。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-25T17:28:43+08:00"
AI主题相关性: 0
AI来源权威性: 15
AI新颖性: 0
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 5
AI摘要: "AWS SageMaker MLflow 现已支持通过 AWS KMS 使用客户托管密钥（CMK）加密数据，并可借助 CloudTrail 审计所有访问。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T02:09:57.714Z"
采集批次: "2026年8月25日17点27分36秒"
采集批次ID: "20260825-172736-501"
去重键: "https://aws.amazon.com/cn/about-aws/whats-new/2026/08/sagemaker-mlflow-custom-keys"
---

SageMaker MLflow now enables customers to encrypt their data using customer-managed keys (CMK) through AWS Key Management Service (KMS).

This enhancement allows organizations with strict security and compliance requirements to manage their own encryption keys. With customer-managed keys, you gain enhanced security control and comprehensive audit capabilities through AWS CloudTrail integration. You can encrypt your data with your own KMS keys, trace all data access for security auditing.

Customer-managed keys must be created in the same AWS account and region as your MLflow App, and only symmetric AWS KMS keys are supported.

This feature is generally available in all AWS Regions [where MLflow App is available](https://docs.aws.amazon.com/sagemaker/latest/dg/mlflow.html#mlflow-regions). To learn more, visit the [SageMaker MLflow detail page](https://docs.aws.amazon.com/sagemaker/latest/dg/mlflow-kms.html).