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Application of AI Encryption Technology: A Case Study of Data Security Optimization at Postal Savings Bank of China

Chen Wang

Abstract


Against the backdrop of accelerating digital transformation in the financial sector, data security issues have become a major challenge for bank information technology management. As one of the largest commercial banks with the most extensive service network, China
Post Savings Bank has actively explored practical applications of AI encryption technology in areas such as customer data protection, system
security reinforcement, and risk warning. This paper uses its technical practices as an example to systematically outline the architectural logic,
implementation mechanisms, and optimization outcomes of AI encryption technology, and explores its adaptability and intelligent advantages
in multi-dimensional data scenarios, providing practical insights for the financial industry to build a secure and trustworthy information protection system.

Keywords


Postal Savings Bank of China; Artificial intelligence; Encryption technology; Data security; Intelligent protection

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References


[1] Ma Jie. Strengthening Data Security Management in Banking and Insurance Institutions [J]. China Finance, 2025, (02): 56-57.

[2] Wang Xinran. Postal Savings Bank: Building a New Financial Security Defense to Protect Consumers' Quality of Life [J]. China Report,

2025, (03): 64-67.

[3] Li Jingying, Du Wangyan. Technical Practices for Protecting Bank Customers' Sensitive Information [J]. Financial Technology Era,

2025, 33(01): 51-54.

[4] Sun Xudong. Research on the Optimization of Data Security Management at A Rural Commercial Bank [D]. Anhui University of Finance and Economics, 2024.

[5] Liao Junjie, Deng Zhiwen, Li Tiecun. Research on the Planning of Data Security Systems for Small and Medium-sized Banks [J]. Financial Technology Era, 2025, 33(01): 27-30.




DOI: http://dx.doi.org/10.70711/aitr.v3i1.7638

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