Privacy- Preserving Entity Resolution
Privacy-preserving entity resolution allows companies to combine data in a way that protects the privacy of entities within the data.
It makes it easier for organizations to collaborate on projects and achieve better outcomes while prioritizing privacy and remaining compliant.
Entity Resolution Across Organizations
By combining data in a privacy-preserving way, organizations can generate aggregated insights across privacy boundaries. For example, when combining datasets from multiple research institutes for large‑scale cross‑study linkage while preserving participant anonymity, or when logistics companies can benefit from end-to-end shipment tracking—from producer to end customer—without a need for sharing commercially sensitive data.
Healthcare Data Sharing
Sharing data about patients or disease areas can result in better healthcare outcomes but data formatting inconsistencies and privacy concerns are creating serious barriers. Privacy-preserving entity resolution offers a solution to this challenge, leading to better patient care.
Data Sharing for
Anti-Money Laundering and Counter Terrorism Financing
Banks must monitor money flows in the fight against financial crime, but detecting criminal transactions when money flows through multiple banks is hard. Privacy-preserving entity resolution helps detect unusual fund movements by matching transaction data without sharing confidential information.
Request our White Paper on Privacy Preserving Entity Resolution
