Understanding How Connected Vehicles & Fleets Can Protect Data Privacy As light-duty and medium-duty vehicles generate significantly more data daily, fleet managers must consider security and data precautions. by Sumit Chauhan, CerebrumX September 11, 2023 5 min to read Automakers are currently faced with the challenge of developing an engaging in-vehicle experience that surpasses their rivals with a focus on rapid innovation. At its core, this innovation is primarily about connectivity through sophisticated and advanced data and algorithms. As light-duty and medium-duty vehicles generate significantly more data daily, and with the advent of high-speed 5G communication, in-vehicle edge computing has become critical to ensure that connected vehicles function at scale to provide quicker and improved performance. Ad Loading... As a result, vehicles can harness data from multiple OEMs and sources scattered in the ecosystem, to be utilized by OEMs, insurers, fleet companies, and smart cities/municipalities. However, all this connectivity also means that security and data precautions must be considered. Connected Vehicles Have a Wealth of Data yet to Be Unlocked Owing to the vast size and breadth of the automotive industry, numerous OEMs are involved in manufacturing connected vehicles and medium-duty trucks as well as a wide variety of models from each OEM. Further, with more than 100 sensors inside each vehicle, tracking everything from driver behavior, vehicle performance, and component lifecycle, the scope and scale of data sources truly becomes exponential. And while all this data can come in handy for various applications, it can be challenging to keep secure. It could become very difficult to enforce conventional cyber security standards with such a complicated automotive supply chain. Protecting vehicles from cyber threats becomes increasingly challenging with each additional connection, embedded or telematics system, and data-collecting sensor. The software and technology industries have had a lot to learn when