With the rapid development of intelligence and networking, data has become a key factor in the automobile industry. In recent days, the ministry of industry and information technology, the office of the national networking and the national development and reform commission have jointly issued the “guidance on security of automobile data for exit (2026 edition)” (hereinafter referred to as the “safeguard guide”), which promotes the establishment of efficient mechanisms to facilitate the cross-border movement of safe and secure motor vehicle data, improves the level of facilitation of motor vehicle data for exits, and constructs a high-quality development of the automobile industry and a high level of safety and good interaction。
The experts believe that the safety guidelines have created the chinese model for the exit of vehicles with both safety and integrity data. They are the first international practical guide to the definition of rules for determining critical data in the subdivision of industry. They are also the global leading normative document for the systematic introduction of an exit security programme for automobile data. They provide an important reference for countries to improve rules for cross-border regulation of automobile data and promote the establishment of a global cross-border cooperation mechanism for automobile data. They help to create a new image of trusted, high-standard chinese cars in the global market and shape and enhance the global strategic initiative for the safety of the automobile industry。
Solve data exit pain points
From r & d design documents at the r & d stage, source code data at the test stage, simulation scenes, test scene data at the production stage, process material inventories at the production chain, production control process source codes, the data cut across the entire life cycle and the entire value chain of the automobile industry. It is understood that up to 10 tb (1tb equals 1024gb) volume data could be generated by a high-level autopilot test day。
In the face of the industrial realities of the growing frequency and complexity of data-exit activities, automobile companies face many common dilemmas and difficulties in practice. The precise choice of the mode of exit of data, the scientific definition of the range of data to be assessed for exit security, and the construction of a system of data security protection to fit the characteristics of the automobile industry ... Addressing these pain points is a necessary step towards promoting the high quality development of the automobile industry。
For the first time, the safety guidelines systematically defined the critical data range for cars, defined the data exit routes for six major scenarios, such as design, manufacturing and automating driving, and addressed long-standing operational difficulties in data identification for enterprises。
The director of the china institute of information and communication (citi), xiaoqiao yu, stated that the safety guidelines were aimed at stimulating the development of new dynamic energy in the automobile industry and promoting high-quality development. They focused on the real pain points and needs of the cross-border movement of vehicle data. They provided enterprises with a set of clear, operational and synergetic data-exit operating guidelines. They allowed companies to discharge their primary data security responsibilities with precision, speed up their business development and create a new situation that facilitated the orderly, safe and efficient cross-border movement of vehicle data。
In accordance with the safety guidelines, organizations, individuals, whether domestic enterprises, joint ventures or foreign enterprises, who decide on the purpose and handling of automobile data on their own initiative in the territory of the people's republic of china, shall regulate the conduct of data exit activities。
“the safety guidelines accurately respond to the most pressing concerns about the development of the automobile industry.” jiang mingtao, director of the national centre for industrial information security development, stated that the rapid integration of the automobile industry into globalization in his country had made the cross-border movement of data a central concern, whether through transnational r & d collaboration or through the provision of efficient services to global car owners. The safety guidelines have been designed to reduce the burden on businesses by clarifying the rules for the identification of critical data in the scenes, adding specific exemptions, and providing a clear policy orientation that accurately addresses industry concerns and responds to business demands。
Today, the global digital economy is deeply integrated and countries compete for improved systems of rules for cross-border data flows. Zhou hua, deputy general manager and member of the party committee of the chinese motor technology research centre ltd., stated that the development of a transparent and efficient regulatory framework for the exit of automobile data would be both appropriate for the development of the country's automobile industry and proactive in adapting to new developments in international governance and would help to promote digital governance and cooperation in the global automotive industry。
Promoting data development and utilization
With the self-study of digital base and ai visual technology, nearly 1,000 industrial robots worked together to achieve 1. 8 Μm pressure accuracy, 100 per cent welding automation at the biadi deep-dry plant and a whole vehicle at the bottom of 51 seconds, which is a typical microcosm of the high-quality development of our new energy automobile industry. The scalable applications of these smart technologies also accumulate and generate large amounts of data on the automobile industry in the production process。
According to xiaoqiao yu, the safety guide is oriented towards safe movement and promotes the deep integration of safe technologies such as data desensitization, privacy computing and encrypted transmission with the entire process of the automobile industry, and accelerates the upgrading of industrial technology systems to safety and precision. At the same time, it directs enterprises to exploit deep-tilled data resources, fully unleashes the value of car data in algorithm optimization, technology overlay, service upgrading, promotes core technological innovations such as auto-driving and contributes to the digital development of the automobile industry。
"intelligent intellectuals" have deeply infiltrated the entire process of car manufacturing. From chire, zero to kaye, jiangye, in a number of car workshops, smart welding robots work together efficiently to perform high-precision welding operations, the ai visual perception system deployed throughout the world monitors risks in real time, the smart mass-checking equipment that carries deep learning algorithms is online, and the automatic identification and interception of defects is achieved so that each downline vehicle can withstand stringent tests。
Behind the intelligentness of car production is the weight of data. According to jiang mingtao, data is no longer a by-product, but rather a “new fuel” for the high quality development of the automobile industry, a “new engine” for improving the integrated competitiveness of the industry, driving the iterative upgrading of automobile technology products, the evolution of automatic driving algorithms, the personalization of user experiences and the innovation of business models. Those who take the lead in the safe and efficient use of data have the future industrial initiative。
Zhou hua suggested that companies linked to the automobile industry chain should build on their own positioning and data flow in the global chain, carefully study the core elements of the safety guide, properly understand the data exit-related system, and accurately determine the classification of data and the implementation requirements associated with the exit security assessment. At the same time, the integration of safety requirements systems into full-scale business processes, such as research and development, production and operation, promotes the safe flow of quality data and the value of enabling data in product development upgrading and functional optimization。
“enterprises should embrace, learn and act proactively. Integrate the facilitation measures and exemptions in the safety guidelines, and in optimizing global collaborative cross-border processes such as r & d, failure response, software upgrades, transform institutional facilitation into a dynamic of enterprise innovation and market expansion, creating a high-quality brand of secure reputation and market competitiveness。
Healthy industrial development
Today, the global technological revolution and industrial transformation are accelerating, and our country has integrated the intelligent network automobile industry into the country's strategic and emerging industry landscape。
In zhou hua's view, the country has the largest new energy automobile market in the world, the richest applications and user ecology, and the resulting accumulation of big and high-quality data has become a unique strategic advantage of our automobile industry. The promotion of the orderly use and flow of this strategic resource is the key path that sustains our country's progress from the motorist to the motorist。
Jiang mingtao believes that the safety guide will bring a new “system dividend” to the development of the automobile industry, and that the positive impact can be summarized as “a heart pill, an accelerator, a new ruler”。
In particular, it gave industrial globalization a “concertative pill”. The rules are clear and expected to stabilize. Based on the safety guide, enterprises can plan ahead for a rational global layout of r & d, production and services, reducing unknown risks, enhancing development confidence and bolder access to international markets。
It becomes an accelerator for industrial upgrading. The safety guidelines promote greater awareness and focus among enterprises, systematically and comprehensively identifying their own data assets, optimizing data security governance systems and promoting data development and utilization. This process of “development with security for development” is itself a deepening of the digital transition that can effectively enhance the overall operational efficiency and risk-control capabilities of enterprises and enhance market recognition and core competitiveness。
A “new ruler” for security management is available to enterprises. In the context of the current rapid growth of smart internet vehicles, where cross-border data flows are already in demand, where there is a lack of detailed policy guidance in the previous period on data security management for the automobile industry, enterprises generally reflect “a lack of understanding of key data, a lack of choice of compliance path and a lack of exit management”. The safety guidelines now provide the industry with a practical manual to develop a clear and operational regulatory framework。
In order to promote the effectiveness of the safety guidelines, the relevant officials of the ministry of industry and information technology indicated that the relevant enterprises would be organized to identify and document critical data accurately, to communicate the results of the records to the enterprise in a timely manner and to identify safety protection objectives, to guide the enterprise in its business landscape and protection needs, to strengthen management systems, operational norms and technical capacity-building and to strengthen its capacity for full life-cycle protection。
Xiaojun yu recommends that enterprises establish a sound management system covering the full life cycle of data, in accordance with the data security law and the requirements related to personal information protection and vehicle data security management; at the technical level, technical protection should be strengthened to cover the full life cycle of data collection, transmission, storage, use and destruction, using encryption, anonymity and desensitization techniques to secure data and build deep defence. Industry should also be encouraged to promote cross-cutting mechanisms for sharing and synergizing data security, exploring mechanisms to facilitate the safe and efficient flow of data elements, freeing up data values and enabling industry innovation, while safeguarding the safety floor。
