In an era where data is a valuable asset, the talk explores the critical role of privacy-preserving technologies in ensuring data sovereignty for African nations. Drawing insights from the latest advancements in federated learning, differentially private deep learning, and trajectory publication techniques, this session aims to delve into practical applications and challenges of these technologies in Africa. The discussion encompasses the implementation of privacy-preserving measures in diverse domains, from medical image analysis and the banking sphere to trajectory-based data, and other sensitive areas. We also highlight the stringent privacy policies adopted by institutions abroad as in Canada as a benchmark for safeguarding sensitive information. Moreover, the talk will shed light on recent developments in Africa, emphasizing the importance of AI safeguards to protect online privacy. Attendees will gain practical knowledge, including the use of free digital tools, to preserve their data rights in an evolving digital landscape.