Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking

The rapid convergence of generative AI (GAI), neuro-symbolic reasoning, and quantum computing has redefined secure communication and networking. Owing to the massive amounts of data, the need for extensive computing power, and the necessity to find and mitigate threats in real-time, traditional security measures cannot keep up with changing cyber threats as the communication infrastructure becomes more complicated. Therefore, this paper investigates the potential of a GAI-enhanced neuro-symbolic quantum framework for building security systems that are strong, scalable, and self-sufficient. This method improves threat detection, encryption, and real-time adversarial defense by combining symbolic reasoning for logic, deep learning for pattern recognition, and quantum intelligence to accelerate computations. This work has made progress in creating the next generation of secure networks that can automatically and adaptively make security decisions in real-time, providing robust protection in communication environments that change over time.