Overseeing privacy & leading the way in GDPR/ EHDS compliance
With secondary use of legislation in place for five years, Finland and the Finnish Social and Health Data Permit Authority Findata are the benchmarks for European Health Data Space. VEIL.AI’s next-generation anonymization technology and privacy verification tools can help authorities oversee compliance with GDPR, the EU AI Act, and EHDS regulations. Our technology provides advanced tools needed to manage, verify, and release anonymous data maintaining privacy.
Maintain the quality and utility of your data with next-generation anonymization that preserves essential details.
Use privacy preserving technology to meet the rigorous standards of GDPR, the EU AI Act, and US NIST guidelines.
Securely train and validate artificial intelligence systems with anonymous high quality data, compliant with GDPR and AI Act.
Seamlessly share and utilize data across borders with full compliance under the European Health Data Space framework.
A testimonial from Hanna /FinData
FinData
Regulations like GDPR, EHDS, and the EU AI Act demand robust systems for verifying data anonymity. VEIL.AI provides comprehensive solutions for verifying anonymity and anonymizing data. This enables data authorities to manage and release anonymized data confidently, reducing the risk of re-identification and safeguarding against privacy breaches.
In Bayer Future Clinical Trials project, VEIL.AI collaborated with Findata to establish a new standard for privacy protection in the secondary use of health data. Our anonymization and privacy verification tools were tested and validated in Findata’s secure execution environment, ensuring that Bayer’s anonymous data could be released safely across borders for research and innovation. This collaboration enables secure data sharing across borders for advanced research projects.
This case demonstrates:
In a joint study with VEIL.AI’s partners Bayer and MedEngine, we compare the use of anonymized and pseudonymized Real-World Data (RWD) in creating external control arms (ECAs) for single-arm randomized controlled trials (RCTs) .
The study, published in BMC Medical Research Methodology, showed that one could draw the same conclusions from anonymized data as from traditional pseudonymized, individual-level research data.
Leverage our secure and scalable cloud platform, where we manage the deployment and maintenance, allowing you to focus on your core operations.
Our anonymization stack can be deployed to your architecture and you host it. It can be deployed to almost any platform. Both cloud and on-premises solutions are possible. SLA is agreed according to your needs.
Benefit from our expert professional services, where our team of data scientists and privacy engineers will collaborate with you to overcome your data and privacy challenges, ensuring you achieve your objectives with confidence.
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