Anonymization

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    'protegrity.com' icon protegrity.com

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    Related websites

    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 whom the data describe remain anonymous.

    En.wikipedia.org


    How Google anonymizes data – Privacy & Terms – Google

    anonymization is a data processing technique that removes or modifies personally identifiable information; it results in anonymized data that cannot be associated with any one individual. It’s

    Policies.google.com


    What is Data Anonymization? | Splunk

    May 25, 2023 · Data anonymization is important for companies that want to protect customer privacy while still using data for analytics or regulatory compliance. We’ve discussed what data anonymization is, why it’s needed, and some examples of how companies can ensure that their data remains anonymous.

    Splunk.com


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

    Apr 25, 2024 · Data anonymization is the process of protecting private or sensitive information by erasing or encrypting identifiers that connect an individual to stored data. For example, you can run Personally Identifiable Information (PII) such as names, social security numbers, and addresses through a data anonymization process that retains the data but

    Imperva.com


    Data Anonymization 101: Techniques for Protecting Sensitive …

    May 16, 2024 · Data anonymization is a technique that removes personally identifiable information from datasets, protecting individual privacy while allowing organisations to use the data for analysis, research and decision-making.

    Zendata.dev


    What is Data Anonymization? Pros, Cons & When to Implement It

    In short, data anonymization is the process of protecting private or sensitive personal information by erasing or encrypting identifiers that connect an individual to stored data or make them identifiable using one or more pieces of that data.

    Usercentrics.com


    What is Data Anonymization | Techniques, Pros, Cons, and Use …

    Feb 21, 2024 · Data anonymization is the process of obscuring or removing personally identifiable information (PII) from a dataset in order to protect the privacy of the people associated with that data.

    K2view.com


    What is Data Anonymization? | Informatica

    Data anonymization is a way to demonstrate that your company recognizes and enforces its responsibility for protecting sensitive, personal, and confidential data in an environment of increasingly complex data privacy mandates that may vary based on where you and your global customers are located.

    Informatica.com


    What Are the Top Data Anonymization Techniques? | Immuta

    May 13, 2022 · Data anonymization involves removing or encrypting sensitive data, including personally identifiable information (PII), protected health information (PHI), and other non-personal commercial sensitive data such as revenue or IP, from a data set.

    Immuta.com


    Anonymization vs. Tokenization: Exploring Use Cases and Benefits

    Nov 17, 2022 · Two technologies that can help are tokenization and anonymization. While they’re both designed to protect sensitive information from prying eyes, they work differently and meet different requirements. In this article we review how …

    Precisely.com


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