The detection-to-remediation gap is real, but there's another layer worth naming: even when automation is in place, it often stalls at the data classification layer. If the underlying classification confidence is low, no one wants to pull the trigger on automated enforcement — revoking access or quarantining data feels too risky. So the bottleneck isn't just process, it's trust in the signal. Fixing accuracy upstream is what unlocks automation downstream.