Imagine you want to analyze medical records from five different countries without ever actually seeing the private names or addresses. This tool acts like a secure vault that lets you run calculations on locked data without needing the keys. It helps you find patterns in sensitive information while keeping the actual data invisible and safe.
Companies cannot analyze sensitive cross-border data because current encryption tools are either too slow for large datasets or too complex for non-experts to configure while remaining GDPR compliant.
A scalable privacy-preserving system and a recommendation engine that suggests the best security settings based on data sensitivity and performance needs.
If you are a medical research organization dealing with fragmented patient records across borders — this project developed a privacy-preserving system that allows analysis of federated medical datasets without compromising patient anonymity.
If you are a threat intelligence provider dealing with sensitive computer logs from different organizations — this project developed a scalable tool that mitigates cyberattack impacts by analyzing logs while keeping the source data private.
If you are a FinTech compliance firm dealing with strict GDPR rules for cross-border data — this project developed a recommendation engine that suggests the best security settings based on the sensitivity of your financial data.
Based on available project data, no specific pricing or commercial cost model is mentioned; the project was funded by an EU contribution of EUR 4,392,540.
Yes, the project specifically focuses on creating a scalable and practical system to overcome performance degradation seen in previous encryption methods.
Based on available project data, specific licensing terms are not provided, but the project involves a consortium of 14 partners including 6 companies.
Yes, the primary goal is to facilitate the GDPR-compliant processing of sensitive data stored in federated cross-border data spaces.
The project period runs from 2022-07-01 to 2025-06-30, spanning three years.
The consortium is well-balanced for commercialization, featuring a 43% industry ratio with 6 companies, including 4 SMEs and one start-up. With 14 partners across 7 countries, the group covers the entire value chain from academic research (8 institutes/universities) to practical industrial application, ensuring the tool is both scientifically sound and market-viable.
Contact EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMENIS EVTHINIS in Greece
Contact us to connect with the ENCRYPT consortium for licensing or pilot integration.
