Stambia Privacy Protect

Discover how Stambia's Privacy Protect module protects your personal data and meets regulatory requirements (GDPR, CNIL3), due to its features:

• for anonymization and pseudonymization of data
• for filling in databases from generated data
• for traceability and audit

Data protection can consist in anonymizing development or test databases, by loading them from the real data of the production databases. Stambia Privacy Protect allows you to define the rules on metadata (tables, columns, etc.) and then perform the specified anonymization.

Pseudonymization may also be necessary to protect your data for analysis purposes: 

• Expose data to the outside (Open data)
• Set up Analytics systems (Business Intelligence, Big Data, Machine learning)

A component integrated into Metadata

The Privacy Protect component is fully integrated into the data integration solution, through Stambia's "Metadata". For each schema, table, column, the user can define his rules regarding anonymization, pseudonymization or data generation. These rules are then applied when the component is executed with the configured metadata.

Several protection methods

• Substitution by provided or customized dictionaries
• Deduction from these dictionaries
• Generation of random values, automatic numbering
• Obfuscation, encryption, SQL transformation
• Generation of temporary correspondence tables, pseudonymization tables

Advanced features for these methods

• Several data distribution methods: taking into account (or not) the uniform distribution of data (uniform, by weight in the dictionary or by normal law)
• Intelligent processing of zero values
• Use of personalized masks (emails, phones,...)
• Taking into account the geographical particularities of your data
• Building HTML reports (anonymization/pseudonymization log, samples)
• Use of database engines (like Oracle, PostgreSQL)
• Loading empty tables from Privacy Protect methods