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
Available in: Enterprise, Performance, and Unlimited
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.
Types of Data Collected
Data 360 collects and stores two types of data for Einstein Generative AI: generative AI
audit data and feedback data.
Type
Source
Data Collected
Includes User Data
Generative AI audit data
LLM Gateway
Prompt template ID and details
Request metadata and request ID
Org ID
Region and Language
Hydrated prompt text
Final PII-masked prompt text
Retrieved data
LLM response text
Final PII-unmasked response text
Response safety score
Response toxicity scores
LLM details and parameters (vendor model details and temperature)
Yes
Feedback data
Feedback API
Thumbs up and thumbs down reactions and reason text
Accept, regenerate, modify, and decline or ignore
Modified final response used
No
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.
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