The amount of sensitive and personal data increases rapidly due to the spread of digital technologies throughout society. The insights that can be extracted from all this data offer great opportunities for improving our quality of life and for developing a data driven society. However, large-scale collection of personal and sensitive data also poses great risks due to the inherent potential for surveillance and abuse. Minimizing these risks requires a clear legal framework like the GDPR that can regulate the use of such data, as well as robust and scalable technological solutions that can reliably protect the data. With KIProtect we want to provide such a solution and help organizations to build a modern, secure infrastructure for processing sensitive data. We aim to provide open, extensible software tools that can be easily used in modern data infrastructures, regardless whether data processing takes places in the cloud or on premise. We believe that sensitive data should be protected in real-time and directly where and when it gets created, and we want to provide tooling that makes this possible and straightforward. We want to offer strong, mathematically secure methods for anonymization, encryption and pseudonymization of sensitive data. By doing this we want to make it easy for organizations to manage sensitive data and share it securely with partners. We believe that real-time data sharing can enable data-driven decision making for businesses, civic organizations and governments, and we want to ensure that such data sharing can be done in a straightforward and secure way. To make this possible, we plan to release a suite of open-source tools for protecting sensitive data, as well as enterprise-grade solutions for securely managing and sharing such data.
