Industry Background
The global automotive manufacturing and new energy industry is facing dual challenges of technological innovation and environmental protection, with rapid development in business and technology, especially in the fields of new energy vehicles and intelligent connected vehicles. As digital transformation deepens, the automotive and new energy industry has accumulated a large amount of personal information, intellectual property, trade secrets, as well as vehicle operation and environmental data. These data are crucial for improving service quality, optimizing product design and user experience, and maintaining corporate competitiveness. At the same time, global market data security regulations are becoming increasingly stringent, and companies must ensure the legal and proper handling of data, and take effective measures to protect data from leaks and misuse. In this environment, companies need to focus not only on technological innovation and market competition but also on the challenges of data security and privacy protection.
Challenges
Data operations in the automotive industry involve multiple parties, including manufacturers, software providers, dealers, repair services, ride-hailing companies, and insurers. While traditional cars rely on engines and transmissions, smart cars add an additional layer of dependence on information systems and chips. With technological advancements, new challenges arise—not just in manufacturing, but also in sales, operations, and the overall security of data.
Solutions
Automotive companies should build proactive, internally-focused data protection systems to defend against evolving threats. This is a long-term project that should start with the most critical data, from the most familiar locations, using the simplest methods. Unlike traditional security products, an internal threat protection system is a continuous process. The ultimate goal is to create an adaptive security architecture that performs ongoing analysis of both users and systems, including audits, policy enforcement, scoring, continuous profiling, analysis, and verification. The key concept here is “continuous,” based on Gartner’s CARTA model.