AI data leakage: why a wrong label is harder to defend than a missing one
Short answer. AI data leakage now includes policy-enforcement failure, not only undetected values. When a protection layer assigns a sensitive value the wrong specific data type, downstream masking, retention, and access rules select confidently on a false premise. The control exists and runs. It is pointed at the wrong category of data.