Designing Zero Trust Architectures for the Post-Quantum Era: An AI-Driven Approach
Abstract
The rapid advancement of quantum computing continues to threaten traditional systems of cryptography, necessitating a reconstruction of cybersecurity paradigms to address contemporary and future threats.
Objective: This paper identifies a new Zero Trust Architecture (ZTA) for the post-quantum world, combining post-quantum cryptography (PQC) and AI -driven trust enforcement. The goal is to create a security model that continuously ascertains the identity of users and devices, and all access policies, using quantum-resistant algorithm-based authentication and behavioural analytics powered by AI in real-time.
Methodology: The proposed architecture integrates PQC to securely and efficiently exchange shared secret keys, validate the identity of users, and enable encrypted communication. AI helps to dynamically enforce the access policy, monitor anomalous behaviour (indicators of attack) and score risk based on context. This architecture was evaluated in a simulation environment to explore its practicability.
Findings: The evaluations show that the AI trust engine had a trust scoring accuracy of 96.2% with a false positive rate of 3.4%. The PQC integration demonstrated a custom overhead and latency of 8.5%, and key exchange latency of 18. The resource utilisation was balanced with 30% and 25% consumption for the AI and PQC components, respectively. It indicates the proposed framework provides solid, scalable protection appropriate for dynamic, enterprise-grade environments. The real-time decision making, micro segmentation, and quantum-resistance protocols in the service architecture represent a major step forward for future adversary-proof cybersecurity.
Practical Implications: This work provides a realistic, forward-looking clinical guide of how to generate secure digital ecosystems in our emerging quantum futures.
Keywords: Zero Trust Architecture (ZTA), Post-Quantum Cryptography (PQC), Artificial Intelligence (AI), Behavioural Analytics, Quantum-Resistant Security, Adaptive Access Control, Anomaly Detection, Secure Identity Management, AI-Driven Cybersecurity, Continuous Verification
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