Agentic AI-Driven Cybersecurity for Cloud-Connected Automotive Systems
摘要
This research investigates the application of agentic AI-based cybersecurity solutions to car systems connected to the cloud and minimizes car-to-cloud communication risks. As cloud computing increasingly pervades modern vehicles, defending car systems from cyberattacks is crucial. This research investigates whether using agentic AI, autonomous, independent AI agents that deal instantaneously and autonomously with threats, could provide improved security to car systems connected to the car. Based on analysis of observed events and AI model performance, agentic AI performed significantly better than traditional security protocols, registering 92% accuracy against threats, 40% faster response time, and 35% fewer false positives compared to current approaches. This research illustrates the ability of agentic AI to provide scalable, adaptive, and robust security against potential cyber threats to the automotive industry. It opens up research and development paths toward more sophisticated AI-based security architectures. .