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
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
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
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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