What are data masking techniques?
Data masking techniques are methods 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 alters the data while keeping its format.
Why is data masking important?
Data masking is crucial for compliance with regulations like GDPR and HIPAA, as it helps prevent unauthorized access to sensitive information.
How does data masking differ from data encryption?
Data masking alters data to protect it, while encryption transforms data into a secure format that can only be read with a key.
What industries commonly use data masking?
Industries like healthcare, finance, and retail commonly use data masking to protect customer information and comply with regulations.
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