Overview
Align application data management with your business objectives to optimize performance, control costs and reduce risk
De-identify confidential information to protect privacy and support compliance initiatives
- Apply a range of masking techniques to transform personally-identifying information and other confidential corporate data
- Leverage prepackaged data masking routines to transform complex data elements such as credit card numbers, email addresses and national identifiers, while retaining their contextual meaning
- Substitute test environments with realistic, fictionalized data, creating a “safe sandbox” for application testing
- Consolidate and mask data from multiple interrelated applications to create a “production-like” test environment that accurately reflects end-to-end business processes
- Support compliance with privacy regulations such as HIPAA, GLBA, DDP, PIPEDA, Safe Harbour, PCI DSS and others
- Apply a single, scalable enterprise data management solution across applications, databases (DB2, IMS, VSAM/SEQ, Adabas, IDS, Oracle, Sybase, SQL Server, XML), and platforms (Windows, Unix/Linux, z/OS)
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