Canada Protected B

This page describes Canada Protected B compliance controls in Azure Databricks.

Canada Protected B overview

CCCS Medium (Protected B) compliance refers to adherence to the Canadian Centre for Cyber Security’s requirements for handling and protecting sensitive government information classified as "Protected B." This standard outlines controls for safeguarding data against unauthorized access, ensuring confidentiality, integrity, and availability for medium-impact information.

Key points

  • Designed for Canadian government workloads with medium sensitivity.
  • Focuses on protecting data from compromise, loss, or unauthorized disclosure.
  • Requires specific technical and organizational controls.

Enable Canada Protected B compliance controls

To configure your workspace to support processing of data regulated by the Canada Protected B standard, Databricks requires the workspace enables the compliance security profile.

Important

To use serverless compute with Canada Protected B workloads, you must use a base environment that includes environment version 5 or higher. If you do not select a compatible base environment, serverless compute will not start when the Canada Protected B compliance security profile is enabled. To select a base environment, see Configure the serverless environment.

Only specific preview features are supported for processing regulated data. For details on the compliance security profile, supported preview features, and supported regions, see Compliance security profile.

You are solely responsible for verifying that sensitive information is never entered in customer-defined input fields, such as workspace names, compute resource names, tags, job names, job run names, network names, credential names, storage account names, and Git repository IDs or URLs. These fields might be stored, processed, or accessed outside the compliance boundary.

To enable Canada Protected B compliance controls, see Configure enhanced security and compliance settings.

Regional support for features

This table shows feature availability for the selected compliance standard across all supported Databricks regions. Some features may be listed as available before they are actually released.

Feature canadacentral canadaeast
AI Functions - Classification
AI Functions - Document Parsing
AI Functions - Information Extraction
Anomaly Detection
Classic Compute
Clean Rooms
Data Classification
Databricks Apps
Databricks One
Default Storage
Genie Agent Mode
Genie Code
Genie Code Agent Mode
Genie Code Dashboard Agent
Genie Spaces
Knowledge Assistant
Lakebase Autoscaling
Lakeflow Connect - Confluence
Lakeflow Connect - Dynamics 365
Lakeflow Connect - GA4
Lakeflow Connect - Google Ads
Lakeflow Connect - HubSpot
Lakeflow Connect - Meta Ads
Lakeflow Connect - MySQL
Lakeflow Connect - NetSuite
Lakeflow Connect - PostgreSQL
Lakeflow Connect - SFTP
Lakeflow Connect - Salesforce
Lakeflow Connect - ServiceNow
Lakeflow Connect - SharePoint
Lakeflow Connect - TikTok Ads
Lakeflow Connect - Workday HCM
Lakeflow Connect - Workday Reports (RaaS)
Lakeflow Connect - Zendesk Support
Lakeflow Connect - Zerobus Ingest
Lakeflow Jobs
Lakeflow Pipelines Editor
Lakehouse Monitoring
MLflow on Databricks
Managed MCP Servers
Model Serving - AI Gateway
Model Serving - AI Guardrail
Model Serving - AI Playground
Model Serving - Custom Models
Model Serving - External Models
Model Serving - Foundation Models AI Function (ai_query)
Model Serving - Foundation Models Pay-Per-Token
Predictive Optimization
Serverless Jobs/Workflows/Notebooks
Serverless Lakeflow Pipelines
Serverless SQL warehouses
Serverless Workspace
Supervisor Agent
Vector Search (Standard)
Vector Search (Storage Optimized)