Semele’s robust set of masking methods protects sensitive data in lower environments where enhanced access and reduced security controls make it more vulnerable to breach. Production data can be extracted and de-identified in a single automated process.
Data is de-identified “in-flight” or updated in place
Maintain referential integrity across databases without storing any sensitive data
Anonymizes sensitive data in a way that cannot be reverse engineered
Data can be transformed to comply with HIPAA, PCI and other privacy regulation standards
Using Semele’s test data management solution enabled us to get a true devops process up and running very quickly. Now we have robust data for testing that gives us the complexity of production with the privacy of masking. This was a critical first step that helps us get better quality software, faster.