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Sharing and analyzing data are essential for solving complicated problems, like curing diseases or protecting the environment. However, sensitive data, such as medical records or financial details, must be kept private and secure. New technologies make sharing and using sensitive data safer by creating realistic versions of data that do not contain private details or sensitive information traceable to a person. These techniques, called synthetic data and encryption, are already helping researchers study diseases, detect fraud, and prepare for rare events like natural disasters. While challenges remain, such as improving the accuracy of synthetic data and reducing the energy needed to create it, these techniques could unlock safer, faster ways to share data so that researchers all over the world can collaborate more easily.