DatabricksIQ trust and safety

Databricks understands the importance of your data and the trust you place in us when you use Databricks services. Databricks is committed to the highest standards of data protection and has implemented rigorous measures to ensure your information is protected.

Your data is not used for training and our model partners do not retain your data.
- Neither Databricks nor our model partner (Azure OpenAI) trains models using customer data. Your code and input are not used to generate suggestions displayed for other customers.
- Data submitted by Databricks in these features is not retained by Azure OpenAI, even for abuse monitoring. These features have been opted-out of Azure’s retention of data for that purpose.
Protection from harmful output. Databricks also uses Azure OpenAI content filtering to protect users from harmful content. In addition, Databricks has performed an extensive evaluation with thousands of simulated user interactions to ensure that the protections put in place to protect against harmful content, jailbreaks, insecure code generation, and use of third-party copyright content are effective.
Databricks uses only the data necessary to provide the service. Data is only sent when you interact with AI-assistive features. Databricks sends your natural language input, relevant table metadata, errors, as well as input code or queries to help return more relevant results for your data. Databricks does not send row-level data.
Data is protected in transit. All traffic between Databricks and Azure OpenAI is encrypted in transit with industry standard TLS encryption.
EU Data Stays in the EU. For European Union (EU) workspaces, AI-assistive features will use an Azure OpenAI model hosted in the EU. All other regions will use a model hosted in the US.

The following features use Azure OpenAI Service:

All other AI-assistive features, including AI-generated Unity Catalog documentation, use Databricks-managed models.