Data Masking Use Cases on Distributed Systems
Data masking on distributed systems offers a critical safeguard by ensuring that personal and sensitive data is obfuscated, while preserving its usefulness for testing, analysis, and other business processes supporting AI initiatives. Masked data is no longer personally identifiable, but it still behaves like actual data for testing and other use cases.
