The legitimacy, appropriation, and authorization of data during end-to-end communication between participating nodes in a network determines the intelligence and integrity of a real-time cyber-physical system. Given the persistent and increasing violations of the airspace by drones worldwide, the fundamental intelligence and security architectures governing drone usage operations must be empirically evaluated. This chapter examined the significant contributions of artificial intelligence models in developing trustworthy, reliable, intelligent, and secure drone systems to ascertain cyberspace, intelligence space, and airspace security. Furthermore, it explored the role of converging zero trust architecture, existing blockchain technology, and explainable AI in addressing drone security and safety issues like drone ownership authentication, drone package delivery verification, drone operation authorization, and jurisdiction accountability.