> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/appsec-rules/iac-security/ai-and-machine-learning/appsec2-azure-48.md).

# Azure Databricks Workspaces not using customer-managed key for root DBFS encryption misconfiguration

## Rule Details

|                        |                                       |
| ---------------------- | ------------------------------------- |
| Cortex AppSec Rule ID  | APPSEC2\_AZURE\_48                    |
| Category - Subcategory | Storage - Encryption                  |
| Provider               | AZURE                                 |
| Severity               | LOW                                   |
| Framework              | ARM, Bicep, Terraform, Terraform Plan |

## Impact

This rule checks whether Databricks Workspaces leverage a customer-managed key for root DBFS encryption. DBFS (Databricks File System) is the distributed file system used by Databricks clusters. Encrypting the root DBFS adds an extra layer of security, ensuring that even in the event of unauthorized access, the data remains inaccessible and secure. Customer-managed keys enhance security by giving you control over encryption, strengthening your security posture.

## How to Fix

*Resource:* Microsoft.Databricks/workspaces

* *Arguments:* prepareEncryption/value

## Set the `customer_managed_key_enabled` attribute to `true` during Azure Databricks workspace creation. This enables customer-managed key encryption for your DBFS root data at rest. \[source,go]

"resources": \[ { "type": "Microsoft.Databricks/workspaces", "properties": { ... "parameters": { "prepareEncryption": {

* ```
       "value": true
    },
  ```
* ```
     "encryption": {
  ```
* ```
       "value": {
  ```
* ```
         ...
  ```
* ```
       }
    },
  }
  ```

  } } ]

***


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://cortex-docs.paloaltonetworks.com/appsec-rules/iac-security/ai-and-machine-learning/appsec2-azure-48.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.