Ultra-Wideband (UWB) technology re-emerges as a ground- breaking ranging technology with its precise micro-location capabilities and robustness. This paper highlights the secu- rity dimensions of UWB technology, focusing in particular on the intricacies of device fingerprinting for authentication, examined through the lens of state-of-the-art deep learn- ing techniques. Furthermore, we explore various potential enhancements to the UWB standard that could realize a sovereign UWB data network. We argue that UWB data communication holds significant potential in healthcare and ultra-secure environments, where the use of the common unlicensed 2.4 GHz band-centric wireless technology is lim- ited or prohibited. A sovereign UWB network could serve as an alternative, providing secure localization and short-range data communication in such environments.