Tableau Help

Zero-Data Retention Policy

Your data isn’t retained by third-party LLMs. We partner with Open AI and Azure Open AI to enforce the zero-data retention policy.

• No data is used for LLM model training or product improvements.

• No data is retained outside of Tableau.

• No human being looks at data sent to the LLM.

Dynamic Grounding with Secure Data Retrieval

• Relevant information from your Tableau data is merged with the prompt to provide context.

• Secure data retrieval of Tableau data for grounding the prompt based on the permissions of the user executing the prompt.

• Secure data retrieval preserves in place all standard Tableau role-based controls for user permissions and field-level security when merging grounding data from your Tableau data source.

Prompt Defence

• System policies help limit hallucinations and decrease the likelihood of unintended or harmful outputs by the LLM.

• The LLM doesn't perform any calculations to generate an analytical answer.

• System policies can vary for different generative AI features and use cases.

Data Masking

• Sensitive data can be detected and masked before sending the prompt to the LLM.

• Data masking supports multiple regions and languages.

For more information about data masking, see Einstein Trust Layer Region Language Support(Link opens in a new window) and Select What Data to Mask(Link opens in a new window) in the Salesforce help.

Toxicity Scoring

• Einstein Trust Layer scores content on toxicity.

• Toxicity scores are logged and stored in Data Cloud as part of the audit trail.

Available with Tableau+ only

• Prompts, responses and Trust signals are logged and stored in Data Cloud.

• Feedback can be used for improving prompt templates.

• Provides pre-built reports and dashboards for analysis.

For more information about Audit Trail see Einstein Audit and Feedback Data(Link opens in a new window) in the Salesforce help.