Fortify Your Cyber Fortress: Conquer the 2025 NDE Practice Exam! 🚀🔐

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Which data security method obscures specific areas of data with random characters or codes?

Data masking

Data masking is a method used to obscure specific areas of data by replacing it with random characters or codes while retaining its overall structure. This technique is particularly valuable in scenarios where sensitive information, such as personal identification details or financial data, needs to be protected from unauthorized access while still being usable for purposes such as software testing or data analysis.

When data is masked, the actual data is not accessible, making it more secure without compromising the functionality necessary for various applications. This contrasts with methods like encryption, which transforms data into a format that can only be read by those with appropriate keys but does not necessarily obscure the data itself in a usable manner. Tokenization replaces sensitive data with unique identifiers (tokens), but these tokens retain a link to the original data. Data obfuscation can involve various techniques, including altering the data to make it less recognizable, but it doesn’t specifically focus on replacing areas with random characters in the same way that data masking does.

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Encryption

Tokenization

Data obfuscation

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