Quantum AI for Future-Proofing Cybersecurity in Next-Gen Networks

Abstract

The advent of quantum computing is poised to revolutionize various industries, with cybersecurity being one of the most critical areas impacted. As next-generation networks evolve, including the rise of 5G, the Internet of Things (IoT), and cloud-based infrastructures, the need for robust cybersecurity mechanisms becomes more urgent. Traditional encryption algorithms and security protocols are at risk of being rendered obsolete by the computational power of quantum computers. In response, quantum AI—an emerging interdisciplinary field combining quantum computing with artificial intelligence—offers a promising solution to future-proofing cybersecurity. This paper explores the potential of quantum AI to address the cybersecurity challenges posed by next-generation networks, focusing on its ability to strengthen cryptography, enhance threat detection, and provide adaptive security models. By leveraging the power of quantum algorithms and AI-driven decision-making, quantum AI can enable systems to not only withstand future threats but also adapt in real-time to evolving security challenges. This paper also discusses the current challenges in implementing quantum AI in cybersecurity and its future prospects.