UK NACE: Intelligent Risk Quantification and Verification Framework for In-Vehicle Incidents

UK NACE (Feb 2024 - Jan 2025, Funder: UK NACE) developed a real-time risk-scoring engine using explainable AI (SHAP, LIME), reducing false positives by 22% while maintaining 98% detection accuracy for automotive Indicators of Compromise. The framework was aligned with ISO/SAE 21434 standards for cybersecurity-compliant autonomous vehicles, including a real-time Intrusion Prevention System built with Deep Reinforcement Learning.