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.
Industry Needs
Data security needs for automotive industry in its journey of digital transformation mainly covers
- Data assets protection needs As data assets gradually replace fixed assets as key enterprise assets, the need to protect data assets from breach and abuse is becoming increasingly urgent.
- Regulatory and compliance needs Compliant with the legal and regulatory requirements of multiple countries.
- Insider threat protection needs Mitigate data breach risks, particularly across various stages such as manufacturing, sales, and operations.
- Technology upgrading needs To respond the evolving network attacks, we need to build a self-adaptive security architecture by applying new data protection technology.
Solutions
To address the data security needs of automotive industry, we propose the following solutions
- Data Security Governance (DSG) Framework Leverage existing business operations to balance needs and risks, identifying and protecting the core data assets of the enterprise.
- CARTA Model Leverage big data, AI, ML and other technologies to build an integrated analysis and defense system, creating a self-adaptive and intelligent security defense platform.
- Insider Threat Management (ITM) Adopt behavior analysis technology to monitor and predict inside users’ behavior and effectively pinpoint and analyze insider threats.
Typical Scenarios
Scenario 1: Data security protection for enterprise endpoints
Implement centralized management of enterprise endpoints using (UCSS) to enable data scanning, detection, categorization, classification, and protection.
Scenario 2: Email security management for enterprises
Prevent data breaches through email by securing the enterprise email system with Advanced Secure Email Gateway (ASEG) .
Scenario 3: Insider threat management for enterprises
Deploy an insider threat behavior analysis module and integrated with Edge Content Security Protection solution, to monitor and predict insider users’ behavior, detecting and responding insider threat rapidly.
Solution Values
- Implement data security measures Our unified security defense platform comprehensively covers all stages from data generation, storage, utilization to transmission.
- Laws and regulations compliance Compliant with the legal and regulatory requirements of multiple countries, reducing compliance risks for enterprises.
- Insider threat protection We are committed to providing proactive protection against abnormal insider behaviors by building human-centric insider threat protection system, so as to enlarge the data protection coverage.
- Protection technology upgrading With advanced data protection technology to fight against evolving network attacks and secure enterprise data assets.
Conclusion
The automotive industry is facing significant data security challenges in its digital transformation journey. SkyGuard's data security solution provides a comprehensive and adaptive data security protection system for the automotive industry by integrating the DSG framework, CARTA model and ITM technology. This solution not only meets the needs of enterprises for data asset protection, but also ensures compliance with laws and regulations, strengthens protection against internal threats, and improves technical protection capabilities, securing data in automotive industry and promoting a healthy development of it.