---
schema_version: "1"
id: db84e8d0d9585bd2d6995bdca675026152ed14924c5f2ef8cc933e29defe008a
title: About Generative AI Audit and Feedback Data
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ai/264-0-0/generative_ai_feedback_about.md
canonical_url: https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_about.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 00600f999db286bc85808a25f941b4e957f092dc1d6ecb17a8a15384ff154e73
description: Use generative AI audit data (also known as audit trail) to track Einstein Trust Layer functionality such as data masking and toxicity detection that help ensure the safety and accuracy of the generated response.
products:
  - Agentforce
  - Cross Cloud
release: "264"
---
# About Generative AI Audit and Feedback Data

Use generative AI audit data (also known as audit trail) to track Einstein Trust Layer functionality such as data masking and toxicity detection that help ensure the safety and accuracy of the generated response.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>Enterprise</strong>, <strong>Performance</strong>, and <strong>Unlimited</strong> Editions with an Einstein for Sales, Einstein for Platform, Einstein for Service, Einstein 1 Service, or Einstein GPT Service add-on. To purchase add-ons, contact your Salesforce account executive.</td></tr></tbody></table>

## Types of Data Collected

Data 360 collects and stores two types of data for Einstein Generative AI: generative AI audit data and feedback data.

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small ">
        <colgroup>
          <col style="width:16.666666666666664%">
          <col style="width:16.666666666666664%">
          <col style="width:16.666666666666664%">
          <col style="width:50%">
        </colgroup>
        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d58464e73">Type</th>
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d58464e76">Source</th>
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d58464e79">Data Collected</th>
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d58464e82">Includes User Data</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="Type" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e73 ">Generative AI audit data</td>

            <td data-label="Source" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e76 ">LLM Gateway</td>

            <td data-label="Data Collected" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e79 ">
              <ul>
                <li>Prompt template ID and details</li>

                <li>Request metadata and request ID</li>

                <li>Org ID</li>

                <li>Region and Language</li>

                <li>Hydrated prompt text</li>

                <li>Final PII-masked prompt text</li>

                <li>Retrieved data</li>

                <li>LLM response text</li>

                <li> Final PII-unmasked response text</li>

                <li> Response safety score</li>

                <li> Response toxicity scores</li>

                <li> LLM details and parameters (vendor model details and temperature)</li>

              </ul>
            </td>

            <td data-label="Includes User Data" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e82 ">Yes</td>

          </tr>
          <tr class="">
            <td data-label="Type" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e73 ">Feedback data</td>

            <td data-label="Source" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e76 ">Feedback API</td>

            <td data-label="Data Collected" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e79 ">
              <ul>
                <li>Thumbs up and thumbs down reactions and reason text</li>

                <li>Accept, regenerate, modify, and decline or ignore</li>

                <li>Modified final response used</li>

              </ul>
            </td>

            <td data-label="Includes User Data" class="slds-cell-wrap" style="vertical-align:top;" headers="d58464e82 ">No</td>

          </tr>
        </tbody>
      </table>

## Data Collection and Storage in Data 360

When you turn on Einstein Generative AI and Feedback Data Collection and Storage, data is stored in the default data space of your Data 360 instance. You can access this data using Data 360 reporting and through other standard platform capabilities.

You can delete your Salesforce org’s Einstein generative AI audit and feedback data at any time. Because this data is streamed to a data lake object (DLO) in Data 360, follow the steps in Remove Data Lake Objects from Data Spaces.

Data 360 refreshes the data streams once every hour.

#### See Also

- [Einstein Generative AI Audit and Feedback Data Model Objects](https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_data_model.htm&release=264.0.0&type=5 "Understand and analyze your Einstein generative AI audit and feedback data by using the appropriate data model objects (DMOs). Einstein generative AI Audit and Feedback data is streamed to a data lake object (DLO) in Data 360 and mapped to data model objects (DMOs).")
- [Turn on Einstein Generative AI and Feedback Data Collection and Storage](https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_enable.htm&release=264.0.0&type=5 "To collect Einstein generative AI audit and feedback data, turn it on in Einstein Setup. For orgs with only one dataspace, it’s turned on by default when Agentforce is turned on.")
- [Audit Trail](https://help.salesforce.com/s/articleView?id=ai.generative_ai_audit_trail.htm&release=264.0.0&type=5 "Track the use of generative AI in your Salesforce org and ensure that AI usage complies with your security, privacy, regulatory, and AI governance policies.")