Masking Machine
GDPR pseudonymization & compliance
Presentation by Rossella Cobelli
EURIZON CAPITAL SGR
IT Manager
Rossella Cobelli participated as a speaker at the Irion Innovation Day
2019 event, held in Milan at the Cariplo Foundation.
Among the topics addressed:
The needs
An automated, maintainable, and reversible solution
Model
GDPR compliance
Data pseudonymization for overturning between environments
Different consistency levels: record, table, table-to-table, time
Consistency between data in multiple application subsystems
Maintaining statistical consistency
Reversible masking
Process
Heterogeneous input and output storage
Centralized rule dictionary
Codeless rule maintenance
Automated process
The solution
From real to anonymous and feasible data with Irion EDM
Capabilities
Some of the features of Irion EDM:
Masking Engine
Common Function Catalog
EasT® Model
Read / Write Native Connectors
Results obtained
Autonomous dictionary definition.
Consistent and semantically correct database for non-production environments.
Possibility to import production data from external sources masking them according to pre-existing environments.
Constantly incrementally updated databases.
Possibility to analyze specific cases by unmasking on production environments.
The challenges
Data Integrity and consistency
Drivers
5 databases
42 files
300 entities
700 fields
1.7 billion records
Complexity
Technical and functional data model