Privacy-enhancing technologies (PETs) have emerged as powerful tools to help companies protect the personal data that they hold relating to their customers. However, not all PETs are created equally, and without the ability to objectively quantify the levels of privacy risk within a dataset, the controller is exposed to regulatory fines and sanctions. In this webinar, we will demonstrate how the privacy risk within a dataset can be measured and show some examples of how it can reduce the exposure of the controller.

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10:00 - 11:00 hs GMT+1

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Business Intelligence and Analytics
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