How is data masking implemented?
An example of an AI chatbot conversation about data masking implementation.
Can you explain how data masking is implemented in databases?
Data masking is implemented by replacing sensitive data with anonymized values while maintaining its format. This can be done using techniques like substitution, shuffling, or encryption.
What are the common techniques used for data masking?
Common techniques include static data masking, dynamic data masking, and tokenization. Each has its use cases depending on the data access requirements.
How does dynamic data masking work?
Dynamic data masking alters the data in real-time based on user roles, ensuring that sensitive information is hidden from unauthorized users while allowing access to non-sensitive data.
Are there any tools that can help with data masking?
Yes, there are several tools available, such as Informatica, IBM InfoSphere, and Oracle Data Masking, which provide robust data masking solutions.
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