DoD IL5
This page describes Department of Defense (DoD) Impact Level 5 (IL5) compliance controls in Databricks.
IL5 overview
DoD IL5 is a Department of Defense security categorization for cloud systems that process Controlled Unclassified Information (CUI) and certain types of National Security Systems (NSS) data. It builds on the FedRAMP High baseline with additional DoD-specific controls and restrictions.
What IL5 covers
- Applies to DoD cloud systems handling CUI and NSS data.
- Requires compliance with the FedRAMP High baseline plus DoD-specific controls defined in the DoD Cloud Computing Security Requirements Guide (SRG).
- Available exclusively on Databricks for AWS GovCloud DoD, which is connected to the Non-classified Internet Protocol Router Network (NIPRNet).
Enable IL5 compliance controls
IL5 compliance controls are available on Databricks for AWS GovCloud DoD. The compliance security profile is enabled by default on all AWS GovCloud DoD workspaces, which adds monitoring agents, provides a hardened compute image, and enforces Nitro instance types for inter-node encryption. Automatic cluster update and enhanced security monitoring are also enabled.
AWS GovCloud DoD is a separate environment from other Databricks environments. To onboard to AWS GovCloud DoD, contact your Databricks account team. For setup requirements and configuration, see Databricks on AWS GovCloud.
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.
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 |
|
|---|---|
AI Functions - Classification | |
AI Functions - Document Parsing | |
AI Functions - Information Extraction | |
Anomaly Detection | |
Classic Compute | ✓ |
Clean Rooms | |
Data Classification | |
Databricks Apps | ✓ |
Default Storage | |
Genie | ✓ |
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) |