Unexpected outcomes may arise in production when using only sanitized data for the testing of applications. Sanitized data is data that has been purposely and permanently deleted or modified to prevent unauthorized access or misuse. Sanitized data may not reflect the real characteristics, patterns, or behaviors of the original data, and thus may not be suitable for testing applications that rely on data quality and accuracy. According to NIST, data sanitization methods can affect the usability of data for testing purposes1. The other options are not risks introduced by using sanitized data for testing applications, but rather risks that can be mitigated by using sanitized data. Data loss, data disclosure, and breaches of compliance obligations are possible consequences of using unsanitized data that contains sensitive or confidential information. Reference: 2: What is Data Sanitization? | Data Erasure Methods | Imperva 3: Data sanitization techniques: Standards, practices, legislation 1: Data sanitization - Wikipedia