Replacing Data: An Effective Masking Strategy

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With dynamic masking, production environments are protected with the masking process being implemented between the application and data layers of the application.

This allows for a masking translation to take place live in the system and during normal application processing of data.

The type of masking strategy that involves replacing data on a system while it passes between the data and application layers is known as Dynamic masking.

Dynamic masking is a data protection technique that is used to replace sensitive data with fictitious or altered data in real-time. It is an effective way to maintain data confidentiality and privacy while still allowing users to perform their necessary tasks.

This masking technique works by intercepting and analyzing the data as it moves between the data and application layers. Once the sensitive data has been identified, it is replaced with a fictitious or altered value, while the rest of the data remains intact.

For example, if a user is accessing a database that contains credit card information, dynamic masking could be used to replace the actual credit card number with a fictitious number, such as "XXXX-XXXX-XXXX-XXXX". This allows the user to perform their necessary tasks without exposing sensitive data.

In contrast, static masking is a technique where sensitive data is permanently replaced with fictitious or altered data before it is stored in a database or transmitted over a network. Replication involves creating and maintaining multiple copies of data for different purposes. Duplication involves copying data to a new location without modifying the original data.