Using Duality on AWS Nitro Enclaves,NHS England, the National Cancer Institute (NCI) , and the UK Department for Science, Innovation and Technology securely analyzed rare pediatric cancer data without sharing or moving raw patient data.

Duality now natively supports the Flower federated-learning framework — enabling teams to run Flower workloads securely, under governance, and at enterprise scale without rewriting their ML code.

High-value GenAI has been blocked by sensitive data. Our new collaboration with NVIDIA and Google Cloud unlocks privacy-preserving GenAI for banks, hospitals and governments, without moving or exposing data.

Duality’s Kurt Rohloff emphasizes the need for MSPs to start building quantum literacy now — understanding where quantum will impact their operations and preparing for a quantum-secure future.

Partnership powers secure data collaboration for mission-critical operations

Case Study: NHS England, NCI and DSIT – Enabling International Cancer Research Collaboration Using Privacy-Enhancing Technologies

Kurt Rohloff warns that legacy systems and slow patching make identifying and fixing vulnerabilities before “Q-Day” far more complex than past shifts like Y2K, raising the stakes for post-quantum preparedness.

A post-quantum world may seem far off, but experts say that healthcare leaders should begin planning now to ensure that health data is protected.

Confidential Computing is accelerating with Google Cloud’s support for Intel TDX — expanding secure workloads across GKE, GPUs, and Confidential Space. Duality is proud to help bring the next generation of privacy-preserving AI into production.