Anonymization is a data protection technique used to irreversibly remove or obscure identifying information from a dataset, making it impossible to link the data back to the original individual. Unlike pseudonymization, which replaces identifying information with artificial identifiers or pseudonyms, anonymization ensures that the data cannot be traced back to specific individuals, even with additional information or decryption keys.

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Vendor Assessments: Choosing a Processor

In complex data processing, outsourcing tasks to specialized service providers is common. This blogpost discusses how to choose such a processor and establish the necessary agreements.

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