Artificial intelligence and deep learning are growing on the application scale in the automotive industry. Automotive companies are working on customer demands in providing more advanced products with risk-free cybersecurity programs.intelligen and deep learning are growing on the application scale in the automotive industry. Automotive companies are working on customer demands in providing more advanced products with risk-free cybersecurity programs.
In the past years, cyber attacks have increased in different forms (malware and ransomware). The automotive industry is working on policies to avoid dramatic consequences and ensure passengers safety and system security.
Lack of cybersecurity skills in the supply chain resources, developers need for cybersecurity training and planning are a few critical issues faced by automotive companies. Addressing such issues and security risks in vehicles are the present cybersecurity practice.
The involvement of big companies like Apple or Google has increased the number of autonomous cars. Connected cars with autonomous technology have complex internal networks linking together with different components like sensors, brakes or steering wheel of the vehicles. Functions like automated parking and speed regulation or in-line driving are made available to the customer’s AI-enabled networks and software.
Artificial intelligence has made it possible for cars to have several same functions as electric consumer devices.
Automotive companies are now following Automotive SPICE initiative that aims at enhancing quality and controlling process norms such as ISO 26262 for the safety of vehicles and passengers on the roads.
According to an industrial source, the impact on cybersecurity risks is found to be that of 30-35 percentage which has made companies to implement the cybersecurity programs.