Quantum-Safe, AI-Driven Security Architecture for Large-Scale Enterprise Networks: An Integrated Risk Quantification and Design Framework

Authors

  • Sudheer Kumar Aluvala

Keywords:

Quantum-Safe Cryptography, Post-Quantum Security, AI-Driven Security Architecture, Machine Learning Threat Detection, Zero-Trust Design, Large-Scale Enterprise Networks, Security Engineering, Cyber Risk Quantification, Telecommunications Security, Cryptographic Agility, Defense in-Depth Architecture

Abstract

This article presents a comprehensive framework for designing and implementing quantum-resistant, AIdriven security architectures in large-scale enterprise telecommunications and network environments. Asquantum computing advances threaten traditional cryptographic systems and sophisticated cyber attacks escalate in complexity

References

Temiloluwa Iregbu and Tobi Olatunde Sonubi, "Evaluating the Integration of Cybersecurity Frameworks into Financial Risk Management Strategies for Improved Protection Against Emerging Digital Threats," ResearchGate, 2023. Available: https://www.researchgate.net/publication/396560192_Evaluating_the_Integration_of_Cybersecurity_Frameworks_into_Financial_Risk_Management_Strategies_for_Improved_Protection_Against_Emerging_Digital_Threats

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Published

2025-12-31

How to Cite

Sudheer Kumar Aluvala. (2025). Quantum-Safe, AI-Driven Security Architecture for Large-Scale Enterprise Networks: An Integrated Risk Quantification and Design Framework . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 826–846. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4591

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Section

Articles