Data Masking

GDPR pseudonymization and compliance
Customer since
2005

Requirements

An automated, maintainable and reversible solution

Model

GDPR compliance
Pseudonymization of data by tipping between environments
Different levels of consistency: record, table, table to table, time
Consistency between data present in multiple application subsystemsi
Maintaining statistical consistency
Reversible masking

Process

Heterogeneous input and output archives
Centralized rule dictionary
Maintenance of rules with codeless approach
Automated process

Solution

From real data to anonymous truthful data with Irion EDM

Capabilities

Some of the Irion EDM features used

Masking Engine
Common Function Catalog
EasT® Model
Read / Write Native Connectors

Results obtained

Autonomy in defining dictionaries. Consistent and semantically correct database for environments other than production. Ability to import production data from external sources by masking it consistently with pre-existing environments. Constantly incrementally upgradeable database. Ability to analyze point cases by unmasking on production environment.



Challenges

Data integrity and consistency

Driver
5 databases, 42 files, 300 entities, 700 fields, and 1.7 billion records
Complexity
Technical and functional data model
Flexibility
Allow for user autonomy and future extensions
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