The customer is a provincial rural credit cooperatives with more than 2000 service institutions across the province, including business outlets, convenience service points, self-service equipment, POS machines, etc., achieving extensive coverage of basic financial services, but also facing more complex data security risks.
The rural financial institutions under the rural credit cooperatives have many branches and are widely distributed, conducting extensive business cooperation with a large number of local institutions and customers in various townships, facing the challenge of continuous expansion of data scale and diversification of data sources.
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Compared with large commercial banks, the business environment where rural financial institutions' data is located is more open, the business ecology is more complex, and data security management is more complex, open, and multi-source.。
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Rural financial institutions need to ensure data security to support key businesses such as customer portrait construction, risk prevention and control, and efficiency optimization.
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The TDMP data masking system V3.0 independently designed and developed by Digital China is a professional-level data masking system based on the B/S architecture, using the most popular Spring MVC and Mybatis framework technologies. It provides a highly secure, highly available, highly reliable, highly stable, and efficient professional data security solution for enterprise data privacy protection. The product also supports static and dynamic masking algorithms, has a powerful automatic discovery function for sensitive data and a parallel processing engine, and features flexible masking strategies, accurate privacy data discovery, diverse masking methods, efficient processing algorithms, rigorous process approval, detailed audit reports, and a complete monitoring system. It can provide various sensitive data processing methods such as transformation, shielding, replacement, and encryption for the needs of all business scenarios, and can also monitor the data masking server resources in real-time to provide traceable security audits for users.
? Reduce the risk of data leakage and improve the level of data security management.
? Meet policy and regulatory requirements to ensure data compliance.
? Optimize data usage to support business innovation and efficiency improvement.
? Maximize data value while protecting customer privacy and enterprise data asset security.
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