Governance policies in Attribution AI

Once you go through the workflow to create a model and submit the model’s configuration, the policy enforcement checks to see if there are any violations. If a policy violation occurs, a popover appears indicating that one or more policies have been violated. This is to ensure that your data operations and marketing actions within Platform are compliant with data usage policies.

Policy violation popover

A popover displaying information about the policy violation.

The popover provides specific information about the violation. You can resolve these violations through policy settings and other measures that aren’t directly related to the configuration workflow. For example, you could change the labels so that certain fields are allowed to be used for data science purposes. Alternatively, you could also modify the model configuration itself so that it doesn’t use anything with a label on it. See the documentation to learn more about how to set up policies.