The CoE-DSC has completed a case study on the application of Artificial Intelligence (AI) Entity Resolution technology to link records across datasets without exposing the source data. In this case study, our participants Knights Analytics together with Roseman Labs tested the performance of their AI Entity Resolution technology combined with Multi-Party-Computation (MPC) – to improve financial crime detection by enabling banks to generate combined views on transaction patterns and the entities involved. The CoE-DSC presents the report with metrics showing that MPC combined with Entity Resolution limits data exposure while achieving solid performance in comparison with today’s practices. Lastly, the report considers potential implementations of this technology for other sectoral use cases.
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Combine data spaces and Privacy Enhancing Technologies for larger and secure shared data analysis
How to get insights from data shared between organisations while safeguarding sensitive data? Both data spaces and Privacy Enhancing Technologies (PETs) can do this. Real progress can be made if we combine both methods. This combination enables us to get insights from larger numbers of (privacy sensitive) data and still meet the required privacy protection.