SECAIMED is a joint project between KIT and DKFZ. Researchers from the domains of medical informatics, law and cryptography join forces to develop secure and legally compliant solutions for high-performance and scalable computations on medical data. Our new approach will advance the state-of-the-art of privacy-preserving computations in the domain of health, which is of highest societal relevance. Key technical tool is the “cryptographic enclave” to perform the computations at near-native performance while, at the same time, achieving provable security guarantees. As a first milestone, we achieved prototypical integration with the KAAPANA platform for medical image analysis, demonstrating the practicality of our approach.