Quantum Computing and AI: The Future of Cybersecurity Defense Mechanisms

Jayasudha Yedalla

Abstract: Quantum computing and artificial intelligence (AI) converge as a phenomenon that is changing cybersecurity defense mechanisms, providing both unprecedented opportunities and emergent challenges. With classical encryption becoming more susceptible to quantum-driven attacks, resilient quantum-safe protocols and AI-driven threat detection systems have become highly demanded. Recent studies point to the disruptive nature of quantum technologies in compromising traditional cryptography systems and, at the same time, provide novel countermeasures to disruptive technologies in the form of quantum cryptography, blockchain, and adaptive machine learning systems. The rising AI improves the active threat-hunting, zero-trust, and predictive analytics to detect advanced persistent threats in real-time across cloud, hybrid, and cyber-physical ecosystems. In the meantime, moral issues, institutional preparedness, and technological asymmetry pose obstacles to extensive adoption. The potential for a future-proof digital infrastructure with strategic integration of AI and quantum computing, advancing national security, and collaborating with partners around the world across the rapidly changing cyber threat could be a path forward. This article aims to critically assess the state of cybersecurity in the future by reviewing different academic and professional perceptions and experiences.

Keywords: quantum computing, artificial intelligence, cybersecurity, threat detection, quantum-safe encryption, blockchain, zero-trust architecture

How to Cite?: Jayasudha Yedalla, "Quantum Computing and AI: The Future of Cybersecurity Defense Mechanisms", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 1082-1092, https://www.ijsr.net/getabstract.php?paperid=SR26317220858, DOI: https://dx.dx.doi.org/10.21275/SR26317220858

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