Label cardholder and customer data consistently across the bank, so every control — from DLP to access — inherits the same context.
Cardholder data, customer records and internal reports are spread across hundreds of shares and mailboxes. Asking staff to label them by hand produces inconsistent results between teams, and inconsistent labels weaken every control that relies on them.
When payment-card and banking rules ask where regulated data lives, the honest answer is often "we are not sure" — and that gap is what reviews tend to find first.
Set a single label scheme — for example Public, Internal, Confidential, Restricted — that reflects the rules your institution answers to.
Data Guard Classification applies labels automatically where the match is clear, lets users label in their normal workflow, and sends uncertain matches to a reviewer.
Labels are stored with the file and travel with it, so DLP, access and retention decisions all read the same context.
See how much of your data is labelled, and which regulated files are still unlabelled, before a review asks.
The same categories applied the same way across teams and storage.
DLP, access and retention controls all act on one set of labels.
A clear, defensible picture of what is labelled and why.
Label-aware DLP that stops account numbers, card data and statements from leaving the bank, without burying analysts in false alerts.
Find and label citizen personal data spread across legacy shares, databases and endpoints — the foundation of any data-protection programme.
Tell us about your environment and we will walk through this use case with your own systems in mind.
