What masking strategy involves the replacing of sensitive data at the time it is accessed and used as it flows between the data and application…

Dynamic Data Masking (DDM) is a security strategy that applies masking rules to data in real-time as it is queried or accessed. The masking occurs on-the-fly, presenting a sanitized version of the data to the user or application while the original, sensitive data in the database remains unchanged. This approach is ideal for production environments where data needs to be protected as it flows between the data store and the application layer, without creating a separate, masked copy of the entire database.

A. Active: "Active" is not a standard industry term for a data masking strategy; it is too generic and lacks a specific technical definition in this context.

B. Static: Static data masking involves creating a physically separate, sanitized copy of a database, which is not a real-time process applied as data flows.

D. Transactional: This is not a recognized category of data masking. While masking can be part of a data transaction, it doesn't describe a primary masking strategy.

1. Microsoft. (2023). Dynamic Data Masking. SQL Server Documentation. In the "Dynamic Data Masking" section, it states, "Dynamic data masking (DDM) limits sensitive data exposure by masking it to non-privileged users... DDM is easy to use with existing applications, since masking rules are applied in the query results."

2. Oracle. (n.d.). Advanced Security - Dynamic Data Masking. Oracle Help Center. The documentation describes it as a feature that "masks sensitive data in real time."

3. Chow, R., & Golle, P. (2008). Feasibility of dynamic data masking. Proceedings of the 2008 ACM workshop on Cloud computing security. https://doi.org/10.1145/1456492.1456505. The paper discusses the implementation of masking "on-the-fly" (p. 52).