System and method for policy enforcement

Abstract

The technology is generally directed to determining whether candidate digital components violate a policy and using the determination to propagate policy labels. Candidate digital components may be filtered such that only a subset of the candidate digital components is provided to a machine learning model for further policy review. The machine learning model may provide a confidence score associated with the policy violation prediction. The policy violation prediction may be 'violates policy' or “does not violate policy.” A label corresponding to the policy violation prediction may be associated with the digital component. The confidence score may be used when determining whether to use the policy violation prediction to propagate labels to other digital components. The labels may be propagated using a seed based enforcement system or a neighborhood based propagation system.