Which data protection approach changes or conceals sensitive values to keep them confidential when they are used in development and testing?

Cloud Data Loss Prevention (DLP) is a service to discover, monitor, and protect sensitive data, not a method for changing values for testing.

Anonymization specifically aims to remove personally identifiable information, which is a specific form of data alteration, while obfuscation is a broader term for concealing values.

Tokenization replaces sensitive data with a non-sensitive equivalent (a 'token'), which is a specific method, but obfuscation is a more general term for various concealment techniques.

Obfuscation involves altering data in a way that makes it unintelligible or misleading while still retaining some semblance of the original data's format or structure. This technique is often used in development and testing environments to mask sensitive production data, ensuring confidentiality while allowing developers to work with realistic-looking datasets without exposing actual sensitive information.