Data Masking Demo | Perforce Software

No Trade-Offs Necessary When You Choose Delphix Data Masking

Data masking is a method of protecting sensitive data by replacing the original value with a fictitious but realistic equivalent. Data masking is also a form of data anonymization.

Data masking best practices are important for sensitive data in non-production environments, including development, testing, analytics, and AI. You can get data masking solutions for your data sources, including SQL data masking and Oracle data masking.

Request a Delphix data masking demo today and find out why no trade-offs are necessary:

PII masking for regulatory compliance.
Test data masking for higher quality.
Data masking software for speed.

Perforce Delphix masked and unmasked data examples.

Diagram of compliant data process from Perforce Delphix

An illustration of how the Delphix Platform works as a left to right process

Static Data Masking For Compliance

Sensitive data sprawl increases security and regulatory risks. But with static data masking from Delphix, you’ll be able to discover sensitive data and use sensitive data masking to ensure regulatory compliance (GDPR, HIPAA, and more) and prevent data theft. This includes SQL data masking, Oracle data masking, PII masking, and more.

Best Data Masking Tools For Quality

Suboptimal and DIY approaches to a data masking process or data anonymization lower the quality of test data. But when you choose the best data masking tools, you’ll gain quality. With the Delphix sensitive data masking process, you’ll preserve data utility and referential integrity across data sources. Test data masking with Delphix means ensuring high-quality test results and better-quality software.

Data Masking Technology Built For Speed

Slow, manual efforts to discover and protect sensitive data — especially for large-scale, complex enterprise estates — can take weeks and months, leading to bottlenecks. With Delphix data masking technology, you can adopt data masking best practices. You’ll automate and accelerate the delivery of enterprise data masking.