In this video, we speak with Christopher Nguyen, CEO of Aitomatic, an automotive cybersecurity firm, about the threats and challenges facing the automotive industry. Nguyen explains how machine learning incorporates physical elements and human experience into its learning processes. However, machine learning also introduces new cyber risks that must be addressed. Nguyen notes that as vehicles have become more connected and autonomous, they have also become more vulnerable to cyber-attacks. Hackers could potentially gain access to steering, braking or other critical systems and cause physical harm. “The automotive industry is really focused on ensuring the cyber resilience and security of vehicles to prevent any catastrophic events,” says Nguyen. Aitomatic uses techniques like anomaly detection, predictive modeling and sensor fusion to help detect threats and protect connected vehicles. Nguyen highlights the need for constant vigilance and adaptation to the evolving techniques of malicious actors. With lives at stake, the automotive industry is working to stay one step ahead of cybercriminals through new tools, standards and information sharing across companies. Overall, this video provides a sobering look at the dangers of an increasingly connected automotive world. But with experts like Nguyen and companies like Aitomatic working to build security into new systems, there is hope that a secure and autonomous vehicle future is on the horizon.