
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) …
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 …
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, …
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.
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 …
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.
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 …
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 …
Anonymization Definition - What is anonymization? - Precisely
Data anonymization refers to the erasure or removal of personally identifying information from a data set. This is done to protect the privacy of the individual or entity the data was collected from.
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 …