19 / 03 / 2020
Quantifying Privacy Risk Webinar
DR. MAURICE COYLE, CHIEF DATA SCIENTIST, TRUATA
If you can’t measure it, you can’t protect it. View the Quantifying Privacy Risk webinar.
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.
One way to achieve the business and data privacy benefits is to use privacy-enhancing technologies, or PETs.
These are novel, powerful and very useful technologies that can provide strong protection of data privacy if used correctly and in fact at Truata we employ several of these technologies within our product suite.
In order to use PETs for protecting privacy, it is necessary to also be able to quantify the privacy risk within a dataset, so better informed decisions around the use of the data can be made. Every dataset has inherently different characteristics that affect the risk of a re-identification occurring. The context of usage must be considered, since it can impact privacy risk – a dataset that will be used internally by a single analyst will have a fundamentally different privacy profile than one that will be published on the Web. Quantifying privacy means more informed decisions and improved communications are fostered between governance, privacy and analytics teams.
View the Quantifying Privacy Risk webinar.