With Libelle DataMasking, you can anonymize sensitive and personal data and work with it sensibly - whether in SAP or another environment. Realistic-looking and GDPR-compliant data replaces the data in your non-productive systems during anonymization. Developers can then easily access development or test systems and train participants. Analyses by experts remain meaningful despite anonymized data. And if you need to provide a non-productive system in advance, Libelle SystemCopy is the right tool.

Quick

Libelle DataMasking works at database level, so we manage to anonymize up to 200,000 data entries per second. If that is not fast enough, tables can also be anonymized in parallel.

Simple

Libelle DataMasking provides over 40 anonymization algorithms and a reference database with defined target values by default. However, if you wish, you can also make adjustments here as required.

Realistic

We transform original productive data into realistic-looking and logically correct data. You can thus realistically test, train, and evaluate on your non-productive systems - without a concrete personal reference.

Flexible

Libelle DataMasking can access any common database and be used for individual systems or complete system landscapes. Databases in different environments are recognized and anonymized across systems.

How it works

With Libelle DataMasking, we are constantly developing and responding to the needs of our customers. With the latest release, we have introduced a test run before the actual work steps. This simulates a complete anonymization down to the actual changes in the data. This allows you to test all critical processes in advance and correct errors before you let the anonymization run automatically overnight or over the weekend.

• Step 1: Inspection
• Step 2: Preparation
• Step 3: Anonymization
• Step 4: Review

Usage instructions

1. Open a web browser and enter "http://IP_ADDRESS_OF_NEWLY_CREATED_VM". Now go directly to the product by clicking on "Product".
2. Wait for the frontend to load.
3. Login to the frontend with the standard user "system" and the initial password which is the Instance name.
4. Go to "http://IP_ADDRESS:9400/admin/#users".
5. Double-click on the entry for user "system".
6. Press on "Edit".
7. Enter a new password.
8. Hit "Save".
9. Go back to "http://IP_ADDRESS:9400/#home".