Information system Security Management and Assessment Program (ISMAP)

This page describes ISMAP compliance controls in Databricks.

ISMAP overview

ISMAP is a Japanese government initiative that certifies cloud service providers for handling government data. It involves independent assessment against the Japanese government's cloud security standards.

Key points

• Applies to cloud service providers operating in Japan and handling government data.
• Involves assessment by an accredited ISMAP assessor.
• Focuses on compliance with Japanese government cloud security controls.

Enable ISMAP compliance controls

To configure your workspace to support processing of data regulated by the ISMAP 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 ISMAP 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	ap-northeast-1	ap-northeast-2	ap-southeast-1	ap-southeast-2	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)