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  1. ANONYMIZE Definition & Meaning - Merriam-Webster

    The meaning of ANONYMIZE is to remove identifying information from (something, such as computer data) so that the original source cannot be known : to make (something) …

  2. Data anonymization - Wikipedia

    Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people …

  3. ANONYMIZE Definition & Meaning | Dictionary.com

    Dec 12, 2022 · Anonymize definition: to block or eliminate identifying information from (test results, data, authorship, etc.), especially for purposes of statistical analysis, product appraisal, …

  4. ANONYMIZE | definition in the Cambridge English Dictionary

    ANONYMIZE meaning: 1. to remove any information that shows which particular person something relates to: 2. to remove…. Learn more.

  5. Data Anonymization - Definition, Meaning, Techniques

    Jul 23, 2025 · Data anonymization is the process of modifying data to remove or obscure PII, making it impossible to identify individuals from the data set. This allows organizations to …

  6. What is Data Anonymization? Techniques, Tools, and Best …

    Sep 30, 2024 · In data science, data anonymization refers to the process of modifying a dataset in such a way that it becomes impossible or very difficult to identify individuals based on the …

  7. Data Anonymisation Made Simple [7 Best Methods]

    Mar 6, 2025 · Anonymisation: Irreversibly alters data so it cannot be traced back to an individual. Once anonymised, the data is no longer considered personal data under regulations like the …

  8. anonymize verb - Definition, pictures, pronunciation and usage …

    Definition of anonymize verb from the Oxford Advanced Learner's Dictionary. anonymize something (specialist) if you anonymize a test result, especially a medical test result, you …

  9. What is Data Anonymization | Pros, Cons & Common Techniques …

    Sep 12, 2025 · Data anonymization is the process of protecting private or sensitive information by erasing or encrypting identifiers that connect an individual to stored data.

  10. Data Anonymization: Definition, Types, Application, Pros, and Cons

    This adaptability makes synthetic data an ideal solution for various applications, allowing organizations to create large, diverse datasets without the constraints associated with …