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• Data Classification and Grading

  Based on industry or enterprise classification and grading standards, the platform uses automatic scanning and identification of data assets to classify and grade them according to security levels and user access permissions.
• Static Data Masking

  Sensitive data is processed to make it unreadable and unrecognizable to ensure security. The original datas uniqueness, simulation, and association are retained to meet database constraint and data rule verification.
• Dynamic Data Masking

  In the production environment, real-time database access requests are parsed through a proxy, and sensitive data query and call results are real-time; masked according to specific rules and algorithms to ensure security.
• Database Auditing

  Real-time monitoring of database operations provides a strong basis for tracing and accountability of security events. The platform provides analysis reports that comply with the Cybersecurity Law and Cybersecurity Level Protection 2.0 System requirements.
• Data Secure Sharing

  Access control and operation permissions for shared data are managed based on the data resource directory, ensuring that only authorized users can access and operate the data. Sensitive data is masked and watermarked.
• Data Leakage Prevention

  A role and permission system is established to authorize user data access behavior. Secure access policies are configured based on user permissions and the security level of accessed data, with an access validity period set.

Many types of data, large volumes, unclear sensitive assets, difficult to sort out

Lack of unified data security execution standards and products

Lack of data security products for each data application link

Lack of a unified data security operation management platform, unable to control the overall data security status of the enterprise