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Redaction is less black and white than encryption ? which means that data can be accessed and used even while it is redacted with different levels of utility based on how much manipulating of the data is done to protect privacy.

While data de-identification and anonymization are methods that are historically used to target indirect identifiers, data masking has become synonymous with the same function due to the variety of algorithms used to de-identity both direct and indirect identifiers, such as k-anonymity.

The goal of redaction is to balance the need for transparency and access to information with the need to protect privacy and sensitive data. It's an important practice in legal proceedings to prevent unintended disclosure and maintain the integrity of the legal process.

A: Data Redaction or Dynamic Data Masking is the process of obfuscating or hiding sensitive data elements such as Credit Card Numbers in the SQL query results prior to display by applications. For example, a credit card number 5105-1051-0510-5100 can be redacted to x-x-x-5100.

In this method, the query returns the proper number of columns, but instead of the actual value, the column value is replaced with a constant. For example, when applying redaction to a Social Security Number (SSN), the result might be 'N/A' or '-XX-X. '

While data redaction is the removal or blocking of sensitive or classified information, data masking refers to sensitive and authentic information being replaced by inauthentic data with the same structure.

What is Data Redaction? Data redaction is a method used to protect sensitive data from being compromised or leaked. It involves the removal of particular pieces of data from the whole of it, in an effort to keep it from being exposed as a whole and used for malicious or nefarious purposes.