Secure Data Collaboration platforms address the complexities of data sharing by enabling the analysis and collaboration on sensitive data without direct access to it, thereby reducing associated risks and costs. These platforms are designed to satisfy privacy and compliance needs by default, employing advanced technologies like Fully Homomorphic Encryption and Secure Federated Learning to ensure data remains protected while still allowing valuable insights to be derived. This approach allows organizations to overcome traditional barriers to data use, such as data silos and cross-border data sharing, transforming how businesses handle data-driven initiatives. By removing the need for direct data access, these platforms not only improve the return on investment for data initiatives but also unlock opportunities for global collaboration, as illustrated by Duality's partnership with Tel Aviv Sourasky Medical Center for oncology research. The move towards such secure data practices marks a shift away from the risks historically accepted in data analytics and business intelligence, providing a more secure and efficient method for leveraging data across industries.