---
schema_version: "1"
id: 5559b4f13d2dca7d0ec5e19deaa78914c8cb8564f9cc3279861ee782e974c2a5
title: Audit Trail
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ai/264-0-0/generative_ai_audit_trail.md
canonical_url: https://help.salesforce.com/s/articleView?id=ai.generative_ai_audit_trail.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 31fb907a20d9e1b4c880a27e1eec8b3635ea093044bc501a4932d53abcab644d
description: 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.
products:
  - Agentforce
  - Cross Cloud
release: "264"
---
# Audit Trail

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.

### 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>

Generative AI audit data (also known as audit trail) includes data about the Einstein Trust Layer features such as data masking and toxicity scores.

Audit trail along with feedback data is stored in Data 360. Use Data 360 reports to see how the Einstein Trust Layer protects your sensitive data from exposure to external large language models (LLMs). Einstein Trust Layer also verifies the safety and accuracy of the responses generated by the LLM. For example, if data masking is enabled for your org, generative AI data includes the masked prompt text that was sent to an external LLM. Similarly, you can also see the response generated by the LLM and the full unmasked response that was served to the user.

To access the data stored in Data 360, you'll need to [turn on the Einstein generative AI 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.") and [install](https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_install_report.htm&release=264.0.0&type=5 "Access the Einstein generative AI audit and feedback reports and dashboards directly from Data 360, after turning on the Einstein generative AI data collection and storage. You can access the Einstein generative AI and feedback data dashboard.") the report package.

#### See Also

- [About Generative AI Audit and Feedback Data](https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_about.htm&release=264.0.0&type=5 "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.")
- [Set Up Einstein Generative AI Audit and Feedback](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.")
- [Verify Masked Data](https://help.salesforce.com/s/articleView?id=ai.generative_ai_audit_data_mask.htm&release=264.0.0&type=5 "After you have configured data masking to in the Einstein Trust Layer Setup, you'll want to verify that sensitive data is masked and also monitor it over time.")
- [Review Toxicity Scores](https://help.salesforce.com/s/articleView?id=ai.generative_ai_audit_toxicity.htm&release=264.0.0&type=5 "Toxicity scores measure the level of potentially harmful language detected by the Einstein Trust Layer in large language model (LLM) responses. To monitor toxicity trends in your Salesforce org, use Einstein Generative AI Audit and Feedback Data.")