Data desensitization system is a professional data security desensitization product for automatic data discovery and data desensitization of sensitive data. It can realize automated discovery of sensitive data in the source data, and bleaching, deformation, masking and other processing of sensitive data as needed to avoid leakage of sensitive information. At the same time, it can ensure that the output data after desensitization can maintain data consistency and business relevance.

Principles of data desensitization

1. Realize the demand for data desensitization and ensure the safety of the desensitization process

With the popularity of the Internet and the soaring value of big data, sensitive information leakage events have been flooding daily life, and enterprises are the aggregation of sensitive information and the source of data leakage. Data *** enjoy, analyze and so on to have value, which also leads to data leakage. Currently, desensitization is required by national laws and regulations, but also the basic protection measures for the core data of enterprises not to be leaked, in the process of desensitization also need to ensure data security, to prevent the leakage of core data in the process of desensitization, and to achieve compliance.

2, desensitized data can not be reverse parsed

Data desensitization outflow, should ensure that the data is safe, not reverse parsed. If it can be reverse cracked, desensitization will no longer have practical significance.

3, sensitive data can be automatically found to improve the efficiency of desensitization

Internet, data **** enjoy the problem of breaking the data silos, so that the data is more valuable, and the massive amount of data manually configure the desensitization rules desensitization is time-consuming and inefficient, the need to realize the sensitive data auto-discovery, the establishment of a knowledge base of sensitive information, and through the continuous updating of the knowledge base and the desensitization strategy to improve the efficiency of desensitization as a whole. The efficiency of desensitization can be improved by continuously updating and improving the knowledge base and desensitization strategies.

4, data desensitization before and after the logical relationship is consistent, to ensure data quality

Often desensitized data is used for data analysis, development, testing and other scenarios, such scenarios need to ensure that before and after the desensitization of the logical relationship is consistent, the desensitized data is usable, effective, real, the quality of the data in line with the scenario requirements.

Data desensitization brings value to customers

1, reduce the risk of leakage of sensitive data

Data containing sensitive information such as customer name, age, cell phone number, bank account number and other sensitive information through the desensitization system into a non-sensitive data in line with the data usage scenarios, so that the sensitive information is maintained in the control of the business system inside, significantly reducing the risk of leakage of sensitive data.

2, improve the quality of test training

Using the system "desensitized data to false" features to maximize the guarantee of desensitized data "authenticity", that is, still still maintain the data characteristics, business rules, data, data, and so on. This can effectively improve the quality of development, testing and training. Providing more realistic data helps the testing process stay close to the real operating environment and promotes the exposure of problems in the testing system.

3. Enhance the efficiency of related work

Evolve from low-speed desensitization to high-speed desensitization, change the previous primitive desensitization of manual, greatly reduce the time required for desensitization, and enhance the delivery efficiency.

Using the desensitization system can respond to desensitization needs on the same day, the fastest day can realize the delivery of desensitized data. So that data desensitization is no longer a bottleneck in the project progress, to promote the shortening of the project cycle, enhance the satisfaction of the demand side.

4 、Compliance with regulatory requirements

Whether it is the highest specification of the law, to the government agencies of the regulations, policies, has been the norms of various industries, guidelines, guidance, etc., including personal information, including the various types of sensitive data have put forward the requirements. Data desensitization system can help enterprises and institutions in data security further to meet the needs of laws and regulations.

5, flexible to adapt to a variety of data application scenarios

The basic de-sensitization of sensitive data is only the first step, to deal with different data application scenarios, desensitization system needs to be further processed, such as development and testing scenarios require that the desensitized data maintains the original business attributes, and the data analysis scenarios require that some of the data retains the true information.