I am using Data Protection feature in Automation Studio to secure our business and operation data. Can some one help me to understand the different between Masking Pattern and Anonymized
AssistEdge Enterprise 19.1 has capability of fallback mechanism to support for Data Protection along with Data Masking and Data Anonymization.
Data Masking here refers to envisioning the data that looks structurally similar to original but hides sensitive information.
Objective of Data Masking is to create a functional substitute that does not expose the data while Reporting, Automation Process logging and orchestration.
Data Anonymization modifies and encrypts the entire data.
Users can also configure the alerts of Data Protection to ensure that process does not fail, if mismatch in data masking patterns.