Software-Defined Vehicle Fleets Face a Twisty Road on Cybersecurity

Software-Defined Vehicle Fleets Face a Twisty Road on Cybersecurity

April 9, 2024 at 01:52PM

REE Automotive’s P7 electric vehicle chassis is designed as a software-driven, configurable platform, with modules controlling steering, braking, suspension, and power train. The platform’s cybersecurity is a key concern, as it can be vulnerable to cyber threats due to its data collection capabilities. Additionally, the debate over “right to repair” laws poses further challenges for the automotive industry.

Key takeaways from the meeting notes:

1. REE Automotive has designed a software-based, customizable electric vehicle chassis with various wire-based functionalities, enabling tailored vehicle configurations for customers.
2. Yaron Edan, CISO for REE Automotive, emphasized the challenges of securing vehicle fleets, including cybersecurity considerations for design, development, supply chain, factory operations, and vehicle networks.
3. The “right to repair” efforts present challenges for auto manufacturers and technology makers in sharing data and information with consumers and third parties for maintaining, repairing, and modifying vehicles.
4. The rise of software-defined vehicles, especially in electric vehicles, brings both flexibility and cybersecurity risks, necessitating proactive cybersecurity and rapid response capabilities for manufacturers.
5. Expanded connectivity through APIs and third-party access introduces new cybersecurity risks, evidenced by previous Tesla vehicle hacks, and may impact fleet management and maintenance services.
6. While automakers’ cybersecurity focus has improved platform security, there is a growing need for transparency to customers and enterprise clients, with a focus on maintainability and reusability in devices.
7. Cyberattacks on automotive systems primarily target availability, impacting functions like remote start, truck access, and creating traffic jams through ride-hailing apps, highlighting the importance of robust management systems.

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