Compare the Top Data De-Identification Tools for Mac as of November 2025

What are Data De-Identification Tools for Mac?

Data de-identification tools are designed to remove potentially identifiable information from datasets. These tools can be used to ensure that data is anonymized and compliant with data privacy regulations, such as GDPR. Data de-identification methods typically involve techniques like suppressing or masking of certain pieces of data. Other methods like pseudonymization, tokenization, and randomization may also be used in order to completely obfuscate the original data while still allowing analysis of the remaining dataset. Furthermore, some advanced data de-identification software includes additional features for monitoring access and preventing unauthorized use of sensitive personal information. In summary, data de-identification tools provide organizations with ways to ensure compliance by removing personally identifiable information from their datasets before sharing or publishing them publicly. Compare and read user reviews of the best Data De-Identification tools for Mac currently available using the table below. This list is updated regularly.

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    DOT Anonymizer

    DOT Anonymizer

    DOT Anonymizer

    Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.
    Starting Price: €488 per month
  • 2
    NMTY Enterprise
    NMTY Enterprise helps you protect all your privacy-sensitive data within your organization, regardless if it is stored in databases or files. Make NMTY Enterprise part of your IT environment and immediately anonymize all data sources that need to be protected. NMTY Enterprise makes it possible to anonymize data regardless of how it is stored, from databases to individual files. Anonymize data stored in a database or in separate files such as CSV and XML. Data is always anonymized directly within the source. This prevents non-anonymized data from being duplicated unnecessarily. Connections to your data sources support integrated authentication and are always encrypted when stored. In addition to anonymizing datasets, it is also possible to directly anonymize data processed within documents and images. Our solutions are developed based on the latest innovations and integrate directly into your existing processes. This way we ensure we always achieve the maximum result.
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