Reports and deletion
This is where the platform stops describing the problem and removes it. The person who owns the data reviews their own findings, decides what goes, and the platform deletes it. Every other vendor stops before this step.
Verifying
350K
data owners decide before anything is deleted
Workflow
Four steps, and a person stands in the middle of them on purpose.
A notification covering their own non-compliant data, in their own language, behind an Entra or SSO login. Send-outs go by fixed date or by period, every one is tracked and validated, and any can be resent with the original configuration. Exemptions are managed centrally.
They filter by classification, location, document age, creation and last-access date and file type, preview each document, and select in bulk. Anything that should stay is marked Private, Dispensation or Misclassified, with a mandatory note where you require one.
Confirmed data is deleted in the repository it lives in. Where deletion is the wrong answer it can be moved within or between sources, or archived into the compliance vault.
Every deletion records how it happened, manually, automatically or in-source, where the document was, who owned it and how it was classified. That record is what an auditor reads a year later.
Automation
Rules
Delete on document age, last access or edit, document class or type, AD group scope, latest verification date or sensitivity label. Your retention policy and the regulatory one run side by side.
Exceptions
Exceptions on any of the same dimensions, plus the manual Private, Dispensation and Misclassified marks, location and time, folder name and path. Dispensations can be time-limited.
Reversal
A send-out that reached wider than intended can be pulled back: data staged for deletion is moved back automatically, before anything is removed.
Report design
Your logo, your header and body text, a help video link, static or rolling cycles, which tabs appear and which notes are mandatory. Usability is the design criterion: fewer than one support case per 1,000 users.
Languages
The report, the classifications and the instructions, in the language the person actually works in.
Proof
Deleted and notified data aggregated by time, user, type and class, with SQL synchronisation for Power BI.
Bevis
7B
datasets monitored
350K
data owners verifying
28
languages classified
0.003277%
false positive rate
Monitor 250 mail accounts for free and see what a deletion report looks like before anything is deleted.
Start nowNo credit card required.