ENCRYPT develops a scalable, practical, adaptable privacy-preserving framework, allowing researchers and developers to process data stored in federated cross-border data spaces in a GDPR-compliant way. Within this framework, a recommendation engine for citizens and end-users is delivered, providing them with personalised suggestions on privacy preserving technologies depending on the sensitivity of data and the accepted trade-off between the degree of security and the overall system performance. The ENCRYPT framework is designed taking into consideration the needs and preferences of relevant actors, and is validated in a comprehensive, 3-phase validation campaign, comprising i) in-lab validation tests, ii) use cases provided by consortium partners in three sectors, namely the health sector, the cybersecurity sector, and the finance sector, that include cross-border processing of data, and iii) external use cases including privacy preserving computations on federated medical datasets.