Governata scans your data sources and flags columns likely to hold personal data with a clear confidence score, so your team decides whether to approve or dismiss each one.
Automated scanning
Confidence score
Defined categories
Human review
Approve or reject
No organization can protect data when it does not know which table and which column that data sits in.
Automated discovery cuts months from a manual inventory, and human review is what makes the result accurate.
Scanning connected databases to flag columns likely to hold personal data.
An indicator of how likely each column holds personal data, so review starts with the strongest candidates.
Automatic categorization of the type of personal data in a column, based on analysis.
Presenting detected items for review and verification of their categorization before any decision.
Approving an item as personal data or dismissing it, with the status kept on record.
Recording personal data the automated scan did not detect and bringing it into the same review cycle.
Scanning connected data sources and flagging columns likely to hold personal data.
Ordering items by confidence score so review begins with the strongest candidates.
Opening item details and verifying the data type and the category assigned to it.
Approving or rejecting the item, and documenting its status and the reason behind the decision.
A prioritized shortlist to review, instead of scanning tables column by column.
A picture of where personal data sits across systems, which is the starting point of any compliance work.
Documented evidence that the organization inventories and reviews its personal data regularly.
Knowing where sensitive data resides, so security controls can be directed to the right places.
An item flagged by the automated scan and not yet reviewed, so it is not relied on until settled.
An item whose review has begun without a final decision, and which stays visible in the review queue.
An item reviewed and confirmed as personal data, which then enters the personal data inventory.
An item reviewed and found not to be personal data, which is dismissed with the reason recorded.
It is any data through which an individual can be identified directly or indirectly, such as a national ID number, an email address, or a phone number.
No. Scanning works on likelihood rather than certainty, which is why human review remains necessary before any result is approved.
It is an indicator of how likely a column holds personal data. A higher score means higher review priority, not a certain result.
Detected data was flagged by the automated scan and not yet reviewed. Approved data has been reviewed and confirmed as personal data.
Because compliance rests on a documented decision rather than a scan result. Review is what turns discovery into a position you can defend.
It can be recorded manually and brought into the same review cycle, so it does not stay outside the inventory.
A scan that flags likely columns with a clear confidence score, and human review that settles each item and records its decision.