Native Mainframe Masking is part of Grid-Tools’ visionary complete data masking suite, Enterprise Data Masking™. Enterprise Data Masking™ utilises native Mainframe utilities to ensure the optimal flexibility and performance for securing your sensitive data on the Mainframe; enabling you to realise significant savings in the time, resources and cost required to secure your PII (Personally Identifiable Information). Performing our robust masking routines directly in your native data source also reduces the reliance on slow, expensive, ETL technologies.
Enterprise Data Masking™ includes powerful, mathematically based data discovery functionality, enabling you to identify and find all the potentially sensitive or PII data in your system. This ensures that you are implementing procedures which are compliant with current data protection standards. As well as identifying the data, our data discovery function also offers suggestions for masking.
These suggestions come from our extensive library of industrial-strength masking functions, which include randomisation, substitution, hashing, date aging, seed data etc. Enterprise Data Masking™ ensures that you maintain all the business rules and full referential integrity of your data, and uses cross-referencing to ensure that your masking is realistic, consistent and meaningful.
All of the masking functions in Enterprise Data Masking™ are also auditable. This allows users to maintain control over their masking process, as well as clearly demonstrate progress towards meeting compliance with data protection legislation.
Using Enterprise Data Masking™ for Mainframe allows you to:
· Mitigate the risk of data breaches and avoid litigation, fines and commercial damage
· Ensure compliance with current data protection regulations
· Secure sensitive data for outsourcing projects
· Accelerate the provision of meaningful, consistent data for testing and development
· De-identify millions of rows of sensitive data in seconds, on all major database types