Databricks Security Features: Protecting Your Data

·Security & Trust Center

·Your data security is our top priority

·Advanced 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. Learn more Private Link

·Connect privately and securely to Databricks from your network with Private Link. Learn more Enhanced Security and Compliance

·Take advantage of the highest standard for Databricks security using Enhanced Security and Compliance. Learn more Serverless Security

·Deploy your workloads on serverless compute protected by multiple layers of isolation. Learn more Unified Security for Data and AI

·Meet complex security and regulatory needs with unified data and AI governance. Learn more Serverless Egress Controls

·Outbound Network Security for Your Serverless Workloads. Learn more Multi-Key Encryption

·Databricks Multi-Key Protection is a key encryption hierarchy that implements fine-grained encryption of customer data when it is at rest in the Databricks account. Learn more

·* 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

·We now have a dedicated Security Best Practices page: click here!

·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 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.

·Access documentation for AWS, GCP, or Azure

·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. View document Shared Responsibility Model

·The Databricks shared responsibility model outlines the security and compliance obligations of Databricks, the cloud service provider and the customer with respect to the data and services on the Databricks platform.

·Access documentation for AWS, Azure, or GCP Report an issue