Why Data Classification & Grading Is Critical for Enterprise Security

Why Data Classification and Grading Are Needed

China’s 2022 Digital China Development Report shows a massive data output of 8.1 ZB, prompting the government to treat data as a new production factor. Legal requirements such as the Cybersecurity Law, Data Security Law, and Personal Information Protection Law mandate data classification and grading to meet compliance, reduce security risks, and support business operations.

What Is Data Classification and Grading

According to GB/T 38667‑2020, data classification groups data by attributes for better management, while data grading assigns protection levels based on importance and impact. Classification is the first step of data asset management; grading ensures appropriate protection for national, corporate, and user interests.

Principles and Process of Data Classification and Grading

Enterprises should follow scientific, applicable, flexible, high‑first, dynamic‑adjustment, minimal‑impact, and confidentiality principles. The typical workflow includes establishing a security team, inventorying data assets, defining standards, performing classification, assigning grades, and creating protection strategies.

How Enterprises Implement Data Classification and Grading

Implementation starts with a thorough data‑asset inventory, often using automated asset‑management platforms to map structured and unstructured sources. Standards are then defined based on national guidelines (e.g., GB/T 35273‑2020, JR/T0158‑2018, JR/T0197‑2020). Automated tagging tools apply machine‑learning, regex, and fingerprint techniques, followed by manual verification. Finally, security controls are tailored to each class and grade, integrating with encryption, masking, watermarking, and firewall solutions.

Conclusion

Data classification and grading form the foundation of enterprise data security governance, enabling balanced protection and data flow, reducing compliance risk, and enhancing operational efficiency. By aligning classification with business needs, organizations can achieve fine‑grained data management and continuously empower their operations.