A Banking Chatbot Security Control Procedure for Protecting User Data Security and Privacy

Abstract

The rise of AI has prompted the financial business to enter the intelligent financial technology (FinTech). Chatbot with AI technologies is an important member of FinTech. The financial industry is actively introducing chatbot to enhance the market competitive advantage. Many banks and card issuers in the United States have introduced or developed chatbots from 2017 to increase user convenience and assist business promotion of financial institutions. However, chatbot with AI features may infringe customer security and personal privacy. Security has become an important issue that Chatbot must pay attention to. In order to improve the security of chatbot, this paper analyzes the security strategies of e-commerce (EC), and combines the AI security principles to plan the Chatbot Security Control Procedure (CSCP). CSCP uses security specifications confirmation, specifications implementation, inspection activity and improvement manners four stages to monitor chatbot. Banking chatbot with CSPS can hold advantages of chatbots, reduce the security risk, and concretely protect customer data security and personal privacy.