What are data masking methods?
An example of an AI chatbot conversation about data masking methods.
What are data masking methods?
Data masking methods are techniques used to protect sensitive data by obfuscating it, ensuring privacy while maintaining usability.
Can you give me some examples of data masking techniques?
Sure! Common techniques include substitution, shuffling, and encryption. Each method has its own use cases and benefits.
How does data masking differ from data encryption?
Data masking alters the data to protect it, while encryption transforms it into a secure format that can only be read with a key.
When should I use data masking?
Use data masking when sharing data for testing or analysis, ensuring sensitive information remains protected.
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