Cloud Computing Compliance Criteria Catalog (C5)

This page describes Cloud Computing Compliance Criteria Catalog (C5) compliance controls in Databricks.

C5 overview

C5 is a German Federal Office for Information Security (BSI) standard that defines minimum security requirements for cloud service providers. Organizations often use a C5 attestation to demonstrate the design and operating effectiveness of cloud security controls.

Key points

• Developed and maintained by the German BSI.
• Focuses on transparency and baseline security controls for cloud services.
• Complements frameworks such as ISO/IEC 27001 and SOC 2.

Enable C5 compliance controls

To configure your workspace to support processing of data regulated by the C5 standard, the workspace must have the compliance security profile enabled. 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 the compliance security profile, 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	ap-northeast-1	ap-northeast-2	ap-southeast-1	ap-southeast-2	ap-southeast-3	ap-south-1	ca-central-1	eu-central-1	eu-west-1	eu-west-2	eu-west-3	sa-east-1	us-east-1	us-east-2	us-west-1	us-west-2
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)	✓	✓	✓	✓		✓	✓	✓	✓	✓		✓	✓	✓	✓	✓