You are here:
Implement Data Governance Permissions for Audit and Feedback Objects
Audit and feedback data can contain sensitive information, such as personally identifying information (PII), that you want to redact or hide from unauthorized users. Use Data Cloud Data Governance to protect sensitive data by setting up dynamic data masking and field-specific data exclusion policies. You need to grant access to the impacted Data 360 objects according to an access policy.
Access Policy Options
You can select from either attribute-based access control (ABAC) or role-based access control (RBAC). This allows you to have more granular control over your users' access to data. Follow instructions in Assign Data Access to assign these objects to an available policy.
Impacted Data 360 Objects
For a list of impacted Data 360 objects, see Data Model for Generative AI Audit and Feedback.
If you have more than one data space, you must grant access to objects in each data space.
Object names in non-default data spaces follow the convention of <DataSpace
Prefix>_<Object Name>.
Test Your Access Policies
After you've updated permissions, be sure to test user access to collected audit and feedback data.
