Automated classification for PCI DSS and BDDK data in finance
The challenge
Financial institutions hold cardholder data, customer records and internal reports across thousands of file shares and mailboxes. Manual labelling does not scale and inconsistent tagging undermines every downstream control.
PCI DSS and BDDK require organisations to know exactly where regulated data lives and to treat it accordingly — a classification gap becomes a compliance gap.
The Siberson approach
Define a scheme
Map a clear label taxonomy — Public, Internal, Confidential, Restricted — aligned to PCI DSS and BDDK requirements.
Automate at scale
Veriket applies manual, policy and AI-assisted labels with persistent metadata, in the user's workflow and in bulk across repositories.
Make it stick
Labels travel with the file as metadata and drive DLP, access and retention decisions across the platform.
Report coverage
Dashboards show classification coverage and expose unlabelled regulated data before an auditor does.
Products in this use case
Outcomes
Consistent labels
One taxonomy applied uniformly across mail, endpoints and repositories.
Context for every control
DLP, access and retention all read the same labels.
Faster audits
Classification coverage is demonstrable on demand.
Compliance & standards
See this use case in your environment.
Request a DemoRelated use cases
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