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.
Unified Security for Data and AI
Meet complex security and regulatory needs with unified data and AI governance.
* 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.
Define: Whitepaper
Databricks has worked with thousands of customers to build our security best practices whitepaper 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.
Deploy: Terraform Templates
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 preconfigured with hardened security settings similar to our most security-conscious customers.
View our GitHub to get started on AWS, Azure and GCP.
Monitor: Security Analysis Tool
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 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 Documentation
Databricks Security and Trust Overview Whitepaper
The security overview whitepaper is designed to provide a summary of all aspects of Databricks for security teams to quickly review.