Security & Trust Center
Your data security is our priority
Security Features
We provide comprehensive security to protect your data and workloads, such as encryption, network controls, data governance and auditing.
Customer-Managed Keys
Gain greater control over the encryption of your data with customer-managed keys on Databricks.
Private Link
Connect privately and securely to Databricks from your network with Private Link.
Enhanced Security and Compliance
Take advantage of the highest standard for Databricks security using Enhanced Security and Compliance.
Serverless Security
Deploy your workloads on serverless compute protected by multiple layers of isolation.
| column1 | column2 | |
|---|---|---|
Network access | Cloud | |
User and group administration | Cloud | |
Access management | Cloud | |
Data security | Cloud | |
Data governance | Cloud | |
Workload security | Cloud | |
Auditing and logging | Cloud | |
Security validations (Compliance) | Cloud |
* Azure Databricks is integrated with Azure Active Directory, and Databricks on GCP is integrated with Google Identity. You can’t configure these in Databricks itself, but you can configure Azure Active Directory or Google Identity as needed.
Security Best Practices
Hardening your Databricks deployments using security best practices helps you maintain the security of your systems and data.
Security Best Practices White Paper
Databricks has worked with thousands of customers to securely deploy the Databricks platform, with the security features that meet their 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 Analysis Tool
Security Workspace 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 Documentation
To make sure you're implementing secure configurations and to validate the security of Databricks, you may need documentation. Please find our key resources below.
Databricks Security and Trust Overview White Paper
The security overview white paper is designed to provide a summary of all aspects of Databricks for security teams to quickly review.
Shared Responsibility Model
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.