With the deepening of information technology construction, the backend databases of enterprises and financial institutions store a large amount of sensitive information such as personal identity, bank accounts, and geographic locations. These data not only support business decisions and create commercial value, but also face the risk of illegal acquisition and abuse. Governments and regulatory agencies around the world have introduced strict laws and regulations, requiring companies to effectively protect sensitive data.

The static data desensitization system is designed to address this contradiction. It can effectively prevent sensitive data leakage during data distribution and sharing through anonymization algorithms such as deformation, replacement, masking, and simulation, while maintaining the consistency and business relevance of anonymized data, meeting the balance between data security and business needs of enterprises.

Core advantages of the product

The DMSS system has four significant advantages:

1) Comprehensive data type support: Not only does it support desensitization of regular databases and structured data files, but it can also process sensitive information detection and automatic desensitization of unstructured files such as text files, office documents, images, and medical images.

2) Accurate data desensitization protection: Built in sensitive data feature library, combined with automatic discovery function and manual screening, accurately identifies sensitive data. The system also provides data watermarking function to achieve precise traceability and trace the responsibility for leaked data.

3) Flexible desensitization scenario adaptation: supports multiple methods such as library to library, library to file, file to library, file to file, and local database desensitization, and supports heterogeneous database desensitization to meet different customer needs.

4) Rich desensitization algorithm library: Built in over thirty sensitive data simulations and desensitization algorithms, supporting flexible parameter configuration, and providing online preview of desensitization effects to meet the special needs of multiple industries such as finance, electricity, and taxation.

Functional System and Business Value

The DMSS system has comprehensive functions, covering multiple modules such as data source management, target source management, task management, solution management, data anonymization, data comparison, and audit management. Its uniqueness lies in:

Adopting a unique desensitization rule system, providing multiple processing methods such as data masking, data simulation, and replacement of critical parts;

All data processing is carried out in memory, adhering to the principle of 'data does not land';

Support comparative analysis of data before and after desensitization to ensure that the desensitization effect meets expectations;

Equipped with comprehensive security audit functions, record all operational behavior logs.

From a business value perspective, the DMSS system can:

Meet the requirements of insurance and industry regulatory compliance;

Ensure data requirements for business scenarios such as development testing and big data analysis;

Effectively prevent sensitive data leakage in production environments;

Enhance traceability capability through data watermarking and quickly locate the source of leakage.

Flexible deployment plan

The DMSS system adopts a layered modular architecture design, with loosely coupled functional modules that support multiple deployment modes:

Non isolated environment deployment: The system is directly connected to the production and development testing environment to achieve efficient data flow;

Isolation environment deployment: Suitable for scenarios where production networks and development testing networks are physically isolated, ensuring security through backup and recovery mechanisms.

In the era of data-driven business, the Ande Guard Static Data Desensitization System (DMSS) provides enterprises with a secure and efficient data usage solution. It not only meets increasingly strict data compliance requirements, but also ensures the data needs of enterprises in development, testing, data analysis, and other scenarios, truly achieving a win-win situation between data security protection and business value mining. With the continuous improvement of data security awareness, DMSS systems will play an increasingly important role in multiple fields such as finance, electricity, healthcare, and government affairs.