What are some examples of data masking?
Data masking involves techniques like tokenization, encryption, and obfuscation to protect sensitive data.
Can you explain tokenization in more detail?
Sure! Tokenization replaces sensitive data with unique identifiers called tokens, which can be mapped back to the original data.
What are the benefits of using data masking?
Data masking helps in protecting sensitive information, ensuring compliance with regulations, and enabling safe data sharing.
Are there any tools for implementing data masking?
Yes, there are several tools like Informatica, IBM Guardium, and Microsoft Azure Data Masking that can help with implementation.
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