Use Cases
In-depth, real-world data-security scenarios by sector and product — the challenge, the Siberson approach, measurable outcomes and the compliance they support.
Stopping customer financial data exfiltration in banking
Classification-aware DLP that blocks account numbers, card data and statements from leaving the bank — without drowning analysts in false positives.
Automated classification for PCI DSS and BDDK data in finance
Label cardholder and customer data consistently across the bank so every control — from DLP to access — inherits the same context.
KVKK-ready data discovery and classification across public agencies
Find and label citizen personal data spread across legacy shares, databases and endpoints — the foundation of KVKK compliance.
Sovereign on-prem DLP for citizen data in the public sector
Full data-loss prevention that runs entirely inside the agency's own datacentre — no cloud dependency, no data leaving the country.
Sovereign data protection for defense endpoints, including Linux and Pardus
Protect classified and export-controlled data on mixed Windows/Linux estates — on-prem, air-gapped, with integrity monitoring built in.
File integrity monitoring for classified defense systems
Real-time detection of unauthorised change to the files, binaries and configurations that classified systems depend on.
Protecting subscriber PII across telecom CRM and billing
Keep subscriber identity, call records and billing data from leaking out of CRM, billing and support tooling.
Mapping subscriber data at scale in telecom
Discover where subscriber records actually live across sprawling databases, shares and analytics stores before you try to protect them.
File and configuration integrity monitoring for energy OT/ICS
Detect unauthorised change to the configurations and files that keep critical energy infrastructure running.
Classifying critical-infrastructure data in energy & utilities
Know which engineering, grid and customer data is sensitive — and label it so it can be governed consistently.
Protecting patient health information (PHI) in healthcare
Prevent patient records, images and reports from leaking across email, USB and cloud — with classification-aware policy.
Discovering medical records across hospital systems
Locate PHI scattered across departmental shares, imaging stores and legacy systems as the first step to protecting it.
Preventing sensitive data leakage into GenAI tools
Stop employees pasting regulated data into ChatGPT, Copilot and other AI tools — with classification-aware, AI-era DLP.
Controlling insider risk on offline endpoints with OCR
Enforce data-loss policy even when laptops are offline — and catch data hidden in screenshots and scans.
Data discovery before a cloud migration
Find and classify sensitive data before it moves — so you migrate with control, not surprises.
Early ransomware detection through file integrity monitoring
Catch the mass file changes of a ransomware event in real time — before encryption spreads across the estate.
Fulfilling KVKK data-subject requests in the public sector
Answer access, correction and erasure requests from a real data inventory instead of a manual scramble across systems.
Rolling out Microsoft 365 sensitivity labels in a bank
Apply consistent, policy-driven labels across Microsoft 365 so protection follows the document everywhere it travels.
Locking down removable media in defense environments
Control exactly what can be copied to USB and external media on sensitive endpoints — with full evidence.
Monitoring configuration integrity across telecom infrastructure
Catch unauthorised changes to the configurations and files that keep network services running and compliant.
Controlling third-party engineering data in energy
Keep grid designs, SCADA data and engineering documents from leaking through contractor and partner channels.
Protecting patient data in cloud EHR and email
Extend classification-aware DLP to the cloud EHR, webmail and SaaS tools clinicians use every day.
Deterring print and screen-capture leaks with watermarking
Make every printout and screen traceable so insiders think twice — and leaks can be traced back.
Discovering sensitive data inside databases
Look beyond files — find regulated data hiding in SQL tables, columns and exports across the estate.