T
traeai
Sign in

产品

什么是 AWS Lake Formation

用于管理数据湖权限的服务,支持行级和列级安全策略。

为什么现在值得关注?

最近变化

2026-06-01 · 使用 Cedar 策略可对 MCP 工具执行确定性访问控制,自动记录审计日志,适用于角色/资源/动作三元组授权。

AWS Lake Formation 被反复提及时,通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。

📰 AWS Lake Formation 最新动态

已收录 2 篇与「AWS Lake Formation」相关的 AI 资讯和分析。

Secure AI agents with Policy and Lambda interceptors in Amazon Bedrock AgentCore gateway

Secure AI agents with Policy and Lambda interceptors in Amazon Bedrock AgentCore gateway

AWS Machine Learning Blog4125 字 (约 17 分钟)
90

Amazon Bedrock AgentCore Gateway secures AI agents via Cedar policies for static control and Lambda interceptors for dynamic validation, enabling enterprise governance and geo-fenced access.

入选理由:使用 Cedar 策略可对 MCP 工具执行确定性访问控制,自动记录审计日志,适用于角色/资源/动作三元组授权。

FeaturedArticle#Amazon Bedrock#AI Agent#Security#Lambda#Cedar英文
Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store

Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store

AWS Machine Learning Blog2549 字 (约 11 分钟)
80

Amazon SageMaker Feature Store released three new capabilities: native AWS Lake Formation integration for fine-grained access control, new Apache Iceberg table properties to manage metadata lifecycle and reduce storage costs, and a lighter, faster development experience via SageMaker Python SDK v3.

入选理由:通过 Lake Formation 原生集成,可在创建特征组时自动启用列级、行级及单元格级访问控制,无需手动配置。

FeaturedArticle#AWS#SageMaker#Feature Store#Machine Learning#Apache Iceberg英文

与「AWS Lake Formation」经常一起出现的 AI 术语。

💡 想追踪「AWS Lake Formation」的长期趋势?去 实体雷达 · AWS Lake Formation 查看详细分析和跨材料问答。

AI may generate inaccurate information. Please verify important content.