Data Masking
Replacing sensitive data with realistic but fake values so it can be used safely in non-production settings.
·1 min read
Data masking↗ is the process of replacing sensitive data with realistic but fake values, obscuring actual customer names or account numbers while preserving the data's format and structure, so it can be used safely for testing, development, or analytics.
This lets teams work with data that behaves like production data without exposing real personal information, reducing the risk and compliance burden of a leak from a less-secured development or test environment.