https://docs.protegrity.com/anonymization/1.4.0/docs/using_anon/Recent content in Using Protegrity Anonymization onHugoenFri, 06 Feb 2026 09:26:52 +0000https://docs.protegrity.com/anonymization/1.4.0/docs/using_anon/hide_create_queries_wrap/Mon, 01 Jan 0001 00:00:00 +0000https://docs.protegrity.com/anonymization/1.4.0/docs/using_anon/hide_create_queries_wrap/<p>A general overview of the process you need to follow to anonymize the data is shown in the following figure:</p> <p><img src="https://docs.protegrity.com/anonymization/1.4.0/docs/images/hide/hide_process.png" alt="" title="Protegrity Anonymization Process"></p> <ol> <li>Identify the dataset that needs to be anonymized.</li> <li>Analyze and classify the various fields available in the dataset. The following classifications are available: <ul> <li>Direct Identifiers</li> <li>Quasi-Identifier</li> <li>Sensitive Attributes</li> <li>Non-Sensitive Attributes</li> </ul> </li> <li>Determine the use case by specifying the data that is required for further analysis.</li> <li>Specify the quasi-identifiers and other fields that are not required in the dataset</li> <li>Specify the required anonymization methods for the data. Some commonly used methods are as follows: <ul> <li>Generalization</li> <li>Micro-Aggregation</li> </ul> </li> <li>Specify and measure the acceptable statistics and risk levels for the data fields for measuring the statistic before running the anonymization job.</li> </ol> <blockquote> <p><strong>Note</strong>: For more information about different risk levels for the data fields, refer to <a href="https://docs.protegrity.com/anonymization/1.4.0/docs/introduction/hide_priv_types/">Anonymization models</a>.</p>