Which term describes replacing sensitive data with non-sensitive substitutes that maintain format and structure?

Which term describes replacing sensitive data with non-sensitive substitutes that maintain format and structure?

• A. Data Masking
• B. Tokenization
• C. Anonymization
• D. Data Scrubbing

Answer: (A)

Data masking is the practice of replacing sensitive values with non-sensitive substitutes while preserving the original data’s format and structure. This means the masked data still looks and behaves like real data—the same length, character types, and numeric patterns—so applications can run, and reports can be produced, without exposing actual sensitive information. It’s especially useful in development, testing, and training where realistic data is needed but privacy must be protected. Tokenization also replaces data with substitutes, but its focus is on generating tokens that map to the real values in a secure vault, rather than specifically preserving format, which is the hallmark of data masking. Anonymization and data scrubbing typically alter or remove data in ways that can disrupt format or usability for testing, making them less aligned with the described goal.

Data masking is the practice of replacing sensitive values with non-sensitive substitutes while preserving the original data’s format and structure. This means the masked data still looks and behaves like real data—the same length, character types, and numeric patterns—so applications can run, and reports can be produced, without exposing actual sensitive information. It’s especially useful in development, testing, and training where realistic data is needed but privacy must be protected. Tokenization also replaces data with substitutes, but its focus is on generating tokens that map to the real values in a secure vault, rather than specifically preserving format, which is the hallmark of data masking. Anonymization and data scrubbing typically alter or remove data in ways that can disrupt format or usability for testing, making them less aligned with the described goal.