波币钱包

 
Data Security Control Platform
Focusing on the entire lifecycle of data and covering specific application scenarios such as development, testing, operations and maintenance, operations, access, and management, our platform integrates modules for data collection security, data storage security, development and testing data usage security, database operations and maintenance security, API interface data security, data sharing security, and data transmission security. This creates a robust data protection system that effectively prevents data violations, traces illegal access, and alerts to abnormal operations. The platform combines sub-systems such as classification and grading, static and dynamic data masking, secure sharing, and comprehensive auditing to provide a unified, standardized user interface and a panoramic view of data security.

Core Features
  • 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.

Advantages
 
 
 
Integrated Data Security Management
Data security is protected from multiple dimensions, including data collection, transmission, sharing, and exchange. This ensures unified management, dispatching, service, and monitoring of data security.
Full Lifecycle Security Protection
Assists users in sorting out data assets (such as asset statistics, classification, clustering, grading, confidentiality identification), security control (data encryption, permission management, data masking, application access, behavior auditing), and situational awareness (trend analysis, risk warning, precise tracing, risk personnel profiling). By defining data access permission models, the platform enables pre-approval, monitoring, and post-audit of data usage, ensuring data security while maximizing data value.
Multiple Data Security Technologies
Integrates multiple big data and security technologies such as machine learning, data identification, big data analysis, correlation analysis, de-identification processing, and access control.
Applications

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

Use Cases
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