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Reidentification Risk of Masked Datasets: Part 1

When it comes to securing data, companies often find themselves at a crossroads – Ensure data Security, which negatively affects data Functionality or, compromise security to keep data functionality intact. In efforts to overcome this issue of having to make a trade-off, organizations adopt sophisticated methods of data protection, such as anonymization and masking, to ensure data security in regard to functionality and performance.



This post first appeared on Mentis Inc | Data Security & Breach Prevention Platform, please read the originial post: here

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Reidentification Risk of Masked Datasets: Part 1

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