安全与信任中心
你的数据安全是我们的首要任务
安全特性
我们提供全面的安全保护您的数据和工作负载,如加密、网络控制、数据管理和审计。
特征矩阵
| column1 | column2 | |
|---|---|---|
网络访问 |
云 |
|
用户和组管理 |
云 |
|
访问管理 |
云 |
|
数据安全 |
云 |
|
数据治理 |
云 |
|
工作负载的安全 |
云 |
|
审计和日志记录 |
云 |
|
安全验证(合规) |
云 |
* Azure砖与Azure活动目录集成,和砖丰富的集成与谷歌的身份。你不能配置这些砖本身,但是您可以根据需要配置Azure Active Directory或谷歌标识。
安全最佳实践
硬化砖部署使用安全最佳实践可以帮助您保持您的系统和数据的安全性。
Databricks has worked with thousands of customers to build our security best practices white paper that defines guidelines for security features that meet architecture requirements. This document provides a checklist of security practices, considerations and patterns that you can apply to your deployment, learned from our enterprise engagements.
Security Reference Architecture (SRA) with Terraform templates makes deploying workspaces with Security Best Practices easy. You can programmatically deploy workspaces and the required cloud infrastructure using the official Databricks Terraform provider. These unified Terraform templates are pre-configured with hardened security settings similar to our most security-conscious customers.
View our GitHub to get started on AWS and GCP.
Security Reference Architecture (SRA) with Terraform templates makes deploying workspaces with Security Best Practices easy. You can programmatically deploy workspaces and the required cloud infrastructure using the official Databricks Terraform provider. These unified Terraform templates are pre-configured with hardened security settings similar to our most security-conscious customers.
View our GitHub to get started on AWS and GCP.
起程拓殖模板部署:
安全参考架构(SRA)起程拓殖模板简化部署工作区与安全最佳实践。您可以通过编程方式部署工作区和所需的云基础设施使用官方数据砖起程拓殖提供者。这些统一起程拓殖与硬模板预配置安全设置类似于我们最安全的客户。
查看我们的GitHub开始在AWS和丰富。
Security Analysis Tool (SAT) monitors your workspace hardening by reviewing the deployments against our security best practices. It programmatically verifies workspaces using standard API calls and reports deviations by severity, with links that explain how to improve your security.
View our blog for more detail and Github to get started on AWS, Azure and GCP.
Security Analysis Tool (SAT) monitors your workspace hardening by reviewing the deployments against our security best practices. It programmatically verifies workspaces using standard API calls and reports deviations by severity, with links that explain how to improve your security.
View our blog for more detail and Github to get started on AWS, Azure and GCP.
Databricks includes documentation on how to operate our security features and best practices to help our customers deploy quickly and securely. The documentation is targeted primarily at teams that deploy or use Databricks.
The security overview white paper is designed to provide a summary of all aspects of Databricks for security teams to quickly review.
The Databricks shared responsibility model outlines the security and compliance obligations of both Databricks and the customer with respect to the data and services on the Databricks platform.