Cross-Organizational Data Enrichment for Financial Institutions and Law Enforcement
This project aims to enable usage of sensitive data in such a way that no information leakage occurs. The project will use Privacy Enhancing Technologies to do this. The application area is Financial Institutions and Law Enforcement. For Financial Institutions, the goal is to be able to combine transactions from different actors (banks) without actually disclosing them, but still to be able to detect which combined transactions should be labelled as suspicious. This can be applied in the area of Anti Money Laundering. Additionally, patterns from different sensitive textual inputs could be combined in this way to detect potential frauds in e.g. stock markets. For Law Enforcement, the goal is to be able to securely identify which entities are being investigated by different organizations, without disclosing which entity is actually being investigated. In this way, investigations can be 'deconflicted'. This is applied in the area of Cryptocurrency investigations. Additional challenges picked up will be to combine information across countries (the challenge is that there are different jurisdictions) and also to combine information between public and private entities.