PHI detection that does not cry wolf. We scan Google Drive and SharePoint for health information, and the combination of NLP classifiers plus HRIS context cut our false positive rate by more than half compared to the regex-based DLP we ran before. When a care coordinator shares a patient file with a specialist at a partner clinic, that is the job. When a billing contractor downloads 400 patient records the week their contract ends, that is not. DoControl separates those two events reliably.

We evaluated DoControl against AppOmni and a CASB renewal. DoControl won on remediation: the others found problems well enough, but DoControl fixes them, in bulk, with workflows we control. Box and Slack coverage met our needs, and the Google Workspace depth is the best I have tested. Deployment was API-based and painless, which matters when your team is five people supporting two thousand users.

The end user engagement model, every other tool I have deployed treats employees as the problem and routes everything through my team. DoControl messages the person who overshared, explains the policy, and asks them to fix it or justify it. Most people fix it. That does two things: it closes the ticket and it teaches. Our repeat-offender rate dropped noticeably after the first quarter. From a media company perspective, where journalists share documents with sources and freelancers constantly, this was the only approach that scaled without killing how our people work.