2025 17th Annual Future of Automotive IT: Cybersecurity in the Automotive Industry

As vehicles evolve into complex, software-driven machines, the auto industry faces an escalating cybersecurity challenge. With cars containing up to 150 ECUs and more than 100 million lines of code—expected to triple by 2030—the risk of breaches has never been higher. From ransomware attacks and supply chain vulnerabilities to EV charging security gaps, experts explored how automakers and suppliers are working to safeguard systems against increasingly sophisticated threats. Speakers examined the industry’s push toward cooperation, global standards, and regulatory frameworks like ISO/SAE 21434 and UNECE R155, while highlighting best practices in risk assessment, incident response, and secure data exchange. As AI amplifies both the risks and opportunities in cybersecurity, the conference underscored that protecting vehicles, companies, and consumers requires vigilance across the entire automotive ecosystem. 

Thank you for your interest in this event. Full presentations and recordings are reserved for our affiliates for one year. In the meantime, explore key insights and highlights below. Full materials will become public in September 2026. 

• Vehicles are now prime cyber targets. With up to 150 ECUs and 100 million lines of code — set to triple by 2030 — the attack surface is expanding rapidly.

• Cyber incidents are disrupting the industry. From ransomware and data breaches to vehicle theft exploits, attackers are hitting OEMs, suppliers, and consumers with rising costs.

• EV charging introduces new risks. Vulnerabilities in charging equipment and communications expose vehicles and infrastructure, requiring secure standards and oversight.

• Global standards and regulations are taking hold. ISO/SAE 21434, UNECE R155/R156, and the EU Cyber Resilience Act are reshaping how automakers manage cybersecurity across the lifecycle.

• AI is changing the battlefield. While adversaries use it to launch more sophisticated attacks, automakers are adopting AI-driven tools for monitoring, detection, and response.

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