Quantum-AI Models for Real-Time Cybersecurity Threat Detection and Adaptive Defense

Abstract: This study investigates a hybrid Quantum-AI framework for real-time cybersecurity threat detection and adaptive defense in high-velocity network environments. The central research problem concerns the increasing mismatch between dynamic cyberattacks and conventional intrusion-detection pipelines that are accurate under benchmark conditions but insufficiently reliable under latency, drift, explainability, and verification constraints. The proposed framework combines classical representa