Fraunhofer Institute for Applied Information Technology FITIn the emerging data-based economy, enabling and protecting data sovereignty will become a critical success factor when sharing, selling or buying data. Data sovereignty can be defined as a natural person’s or corporate entity’s capability of being entirely self-determined with regard to its data.
Data sovereignty unlocks the value of data which currently cannot be shared. Technologies which enable privacy allow sharing of personal information for data analytics and AI by protecting the privacy of individuals contained in the data. Technologies which enable confidentiality guarantees protect confidential business assets when sharing these with external analytics providers to gain a business intelligence advantage. Enabling technologies for data sovereignty go beyond anonymisation, and include e.g. differential privacy, homomorphic encryption (HE) or secure multi-party computation (SMPC).
New legislation, such as the GDPR, emphasises data sovereignty and requires Machine Learning and Data Science processes to preserve privacy and confidentiality of processed data. The GDPR will become a location-specific advantage of Europe by establishing data sovereignty as a middle way between total loss of control and the non-existance of sharing.
We specialize in assisting with and developing of solutions for:
- Balancing between data protection and data utility for data science and artificial intelligence.
- Enforceable guarantees to protect data before, during and after processing.
- Adding differential privacy and anonymization to existing data processing solutions.
- Interfacing with legal experts to assess the legal compliance of existing or newly developed solutions with regards to the GDPR and related EU legislation.