AI-Powered Cybersecurity for Banking and Finance: How to Enhance Security, Protect Data, and Prevent Attacks - Paperback

AI-Powered Cybersecurity for Banking and Finance: How to Enhance Security, Protect Data, and Prevent Attacks - Paperback

$146.94
Sale price  $146.94 Regular price 
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AI-Powered Cybersecurity for Banking and Finance: How to Enhance Security, Protect Data, and Prevent Attacks - Paperback

AI-Powered Cybersecurity for Banking and Finance: How to Enhance Security, Protect Data, and Prevent Attacks - Paperback

$146.94
Sale price  $146.94 Regular price 

by Alex Khang (Editor)

The book explores the importance of artificial intelligence (AI)--based predictive cybersecurity tools in the financial industry and their role in protecting financial data. As AI continues to revolutionize the landscape of global transactions, it also brings forth new challenges, including sophisticated theft activities.

Author Biography

Dr. Alex Khang is a professor in information technology at the Universities of Science and Technology in Vietnam, and the United States; an IT Workforce Development Consultant for High-tech Corporations in the USA and Vietnam; an AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in information technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Science and Technology in Vietnam, India, and the USA. He has been the chair session for 20 conferences, keynote speaker for more than 25 international conclaves; an expert tech speaker for 100 seminars and webinars; an international technical board member for 10 international organizations; an editorial board member for more than 5 ISSNs; an international reviewer and evaluator for more than 100 journal papers; an international examiner and evaluator for more than 15 PhD theses in the computer science field.

Number of Pages: 690
Dimensions: 1.42 x 10 x 7 IN
Illustrated: Yes
Publication Date: December 11, 2025

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