AI Risk Management For Automotive Industry

AI Risk Management for Automotive industry

AI benefits of automotive industry

The automated vehicles have made a breakthrough both in the transport industry and in technology in general. Such technologies gave people the hope that humanity would finally be able to get rid of the complex car control system, because now all the responsibility on the road had to fall on artificial intelligence.

In particular, among the main functions of autonomous vehicles, there are computer-based driving functions such as park assist or cruise control, there is also the ability to alert drivers of hazards, control brakes, steering, and more.

The flip side: AI risks

Despite the fact that autonomous transport largely solves the problem of a driver’s inattention on the road, we, alas, cannot talk about his complete safety. Below you can see the most common AI risks for self-driving cars and the whole automotive industry.

Traffic sign misrecognition

Attackers can implement malicious stickers on road signs. Due to these stickers the autopilot system can wrongly recognize the message of signs and drivers will be misinformed about the current state on the road or speed limits. This may lead to traffic accidents and serious injuries.

Loss of lane control

If attackers modify road markings, steering and lane control systems based on AI can mislead autopilot systems. Self-driving cars unpredictably change direction that can result in wrong-way driving and deplorable situations.

Wrong object detection on the road

Intentional distractions placed maliciously on the road can lead to severe accidents. The detection of objects such as other cars, pedestrians, and animals can be affected. Self-driving cars may hit people or objects and be fatal.

AI incidents

Demonstration attacks have been launched since 2015, when 2014 Jeep Cherokee was “ethically” hacked. The same repeated in 2017 and 2018 with different Tesla models. Finally, in 2020 researchers managed to hack a Lexus NX300.

Fortunately, most of the hacks in autonomous vehicles were carried out by researchers, but this only further highlights the presence of vulnerabilities in systems of smart cars, which could one day be exploited by attackers.

Spontaneous locking and unlocking of doors, as well as exceeding the speed limit and other traffic violations that entail fines for the car owner, these are just a few of the problems that can arise if smart vehicles are hacked. If hackers manage to break into a smart car’s system and gain control over it, they can initiate a whole series of different road incidents.

How we can help with AI risk management

Our team of security professionals has deep knowledge and considerable skills in cyber security, AI algorithms, and models that underlie any content moderation system. Your algorithms can be tested against the most critical AI vulnerability categories that include Evasion, Poisoning, Inference, Trojans, Backdoors, and others.

We offer Solutions for Awareness, Assessment, and Assurance areas to provide 360-degree end-to-end visibility on the AI threat landscape.

Secure AI Awareness to demonstrate AI risks and shape AI governance strategy. It consists of Policy Checkup, AI Risks Training Threat Intelligence for informed decisions.
Secure AI Assessment helps to perform AI integrity validation and identify AI vulnerabilities through Threat Modeling, Vulnerability Audit, and automated AI Red Teaming.
Secure AI Assurance helps to remediate AI risks and implement a lifecycle for AI integrity. It consists of Security Evaluation, Risk Mitigation, and Attack Detection.

Patented technology

Adversa AI is a first mover in commercializing security technologies for AI with patent-pending technology.

Industry partnership

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Reputable company

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Drop us a line!

AI risk management is essential part of every AI driven technology.

Have doubts about the security of your autopilot systems, worry about the trustworthiness of the whole industry or the reputation of your business? Please write to us!