The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.

The fact than more and more Cyber-Physical or IoT systems are integrated in vehicle fleets, coupled with the growing connectivity of these devices, poses a higher risk of cyber attacks, due to the increased attack surface.