
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 …
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.
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 …
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 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 …
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 …
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.
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, …
Data Anonymization: Definition, Types, Application, Pros, and Cons
Data anonymization works by modifying identifiable information in datasets so that individuals cannot be recognized. This can be achieved through various techniques such as data …