Label-aware DLP that stops account numbers, card data and statements from leaving the bank, without burying analysts in false alerts.
Account numbers, card data, statements and customer onboarding files travel all day through email, removable drives, browser uploads and shared folders. Almost all of that movement is legitimate, and that is exactly what makes the rest hard to spot.
Controls built on pattern matching alone end up in one of two places: so broad that analysts drown in alerts and start ignoring them, or so narrow that real leaks go through. Meanwhile supervisors and auditors expect evidence that the controls actually act.
Data Guard Classification labels customer financial data using your own categories, so every later decision starts from context rather than a guess.
Data Guard DLP reads that label when data moves and chooses to allow, warn, ask for a reason, or block — so rules target what is actually sensitive.
The same policy applies to email, removable media, print, browser uploads and clipboard, and keeps working when a laptop is off the network.
Every decision is recorded with the label and rule behind it, ready for internal audit and supervisory review.
Rules act on labelled data, so analysts spend their time on events that matter.
One policy engine across email, removable media, print, browser and clipboard.
Every allow, warn and block is recorded with the reason behind it.
Apply your organisation's own categories to the data discovery found — automatically where the match is clear, with a reviewer where it is not.
Find out more →Decide what labelled data may leave, and act at the moment it tries — on the endpoint, in email, in the browser and on removable media.
Find out more →Label cardholder and customer data consistently across the bank, so every control — from DLP to access — inherits the same context.
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.
