GDPR draws a lot of attention to sensitive data handling. People claim control over their personal data which means asking for consent every time you want to process personal data. Most of your clients would not approve to use their personal data for development or testing. Fortunately, if you use data masking/anonymization, you are good to go. Once anonymized, the data is out of GDPR scope.
Focus on policy management, business requirements, sensitive data governance and other regulations.
Track inventory of databases, data sources, tables and want to know where sensitive data is located.
Implement, test and publish masking and subsetting rules using BizDataX Portal and Designer.
Reserve test data using BizDataX Web portal.
Replace half-functional and error-prone scripts with BizDataX to mask/anonymize large databases full of sensitive data.
Have databases and files in sync to test imports and transaction processing connected with large databases.
Manage large customer databases and exchange data with online partner shops and parcel delivery companies.
Management of medical records is heavily regulated. Regulatory compliance is important and can be achieved with data anonymization.
Here’s a list of some of the questions we have often been asked, as well as explanations of how our
DIY SQL scripts may be better than doing nothing, but do they meet all advanced data masking requirements?