What is data masking and why is it important?
Data masking is the process of obscuring specific data within a database to protect it. It's important for data security, especially in environments where sensitive information is handled.
How does data masking work in practice?
In practice, data masking replaces sensitive data with fictional but realistic data. For example, real names can be replaced with pseudonyms.
What are the benefits of using data masking?
The benefits include protecting sensitive information, complying with regulations, and allowing for safe data sharing and testing.
Can you give me examples of data masking techniques?
Sure! Common techniques include substitution, shuffling, and encryption. Each method has its own use cases depending on the data type.
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