Security News > 2021 > February > Cybersecurity risks connected to AI in autonomous vehicles

A report by ENISA and JRC sheds light on the cybersecurity risks linked to the uptake of AI in autonomous vehicles, and provides recommendations to mitigate them.

"It is important that European regulations ensure that the benefits of autonomous driving will not be counterbalanced by safety risks. To support decision-making at EU level, our report aims to increase the understanding of the AI techniques used for autonomous driving as well as the cybersecurity risks connected to them, so that measures can be taken to ensure AI security in autonomous driving," said JRC Director-General Stephen Quest.

The AI systems of an autonomous vehicle are working non-stop to recognise traffic signs and road markings, to detect vehicles, estimate their speed, to plan the path ahead. Apart from unintentional threats, such as sudden malfunctions, these systems are vulnerable to intentional attacks that have the specific aim to interfere with the AI system and to disrupt safety-critical functions.

Recommendations for more secure AI in autonomous vehicles.

In order to improve the AI security in autonomous vehicles, the report contains several recommendations, one of which is that security assessments of AI components are performed regularly throughout their lifecycle.

Another recommendation is that continuous risk assessment processes supported by threat intelligence could enable the identification of potential AI risks and emerging threats related to the uptake of AI in autonomous driving.

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