Mass of data are stored in the back-end database of financial institutions, which should be protected from the perspective of business practices and data security. Once information leakage occurs, it will not only cause significant property losses, but also seriously damage the enterprise reputation.

In the securities industry, the relevant laws and regulations, such as the Network Security Law of the People’s Republic of China, the Guidelines for Data Classification and Grading of Securities and Futures Industry, the Guidelines for Data Security of Securities and Futures Industry and the Measures for the Administration of Information Technology of Securities Fund Operating Institutions require corresponding data masking systems to protect sensitive data of internal production information system, to extract, bleach and encrypt data during transmission and exchange of sensitive data, to support data demand of business production and to ensure sensitive data is not leaked.

The database deployment architecture of the securities industry is characterized by complete physical isolation between the production data environment and the test data environment. Unlike other traditional network environment, the deployment of data masking directly connects production and test for data masking processing.

Based on such customer scenarios, Digital China’s TDMP data masking product enables 2 masking programs, which have been launched in the customer’s actual cases. Both methods can meet the masking demand and pass validation in function, performance, etc.

Program I: Source base data masking (UDF)

This program is featured by minimizing process changes. Under the customer’s current data import process, the imported desensitized data is desensitized to the original database, without data flow, and the task is simple and efficient.

Program 2: dmp file masking

Based on the full analysis of the format of dmp file, the program directly desensitizes and generates the dmp file and imports the desensitized dmp file to the test base via import command or integrated import function.