The development of autonomous vehicles (AV) entails complex design, production, testing, and deployment procedures that require excellent information and knowledge management in the event of security breaches. As researchers and managers, we must have a good understanding of the development of AV technology. Communication and information exchange, as well as knowledge management (KM) strategies and approaches, are undoubtedly important components. The most difficult challenge is to save the lives of drivers and passengers who use and travel in an AV that is partially or entirely managed by a machine learning model (ML) and artificial intelligence (AI). In this paper, we attempt to investigate the manufacturing process of AVs and intelligent vehicles (IVs), emphasizing the importance of information management (IM) within the factory and processes that are not explicitly articulated in the majority of scenarios. Furthermore, we discuss our method for using the knowledge management life cycle for information exchange in an organization, which could allow for faster and more efficient resolution of security issues within vehicle operating systems. This study seeks to provide an essential theoretical foundation to characterize the future scope of integrated manufacturing, which integrates software and the industry that employs it within the vehicle.