AI-Powered Cybersecurity for Banking and Finance (eBook, ePUB)

How to Enhance Security, Protect Data, and Prevent Attacks
Redaktion: Khang, Alex

• Format: ePub

Produktbeschreibung

In the digital finance world, cybersecurity and cloud tools can be used to prevent attacks and secure sensitive information such as the data of business transactions, internal payments, interbank payments, bank accounts, loan and deposit accounts, stocks, and other financial transactions.

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. Therefore, this book addresses the problem of enhancing security and prevention of attacks through the application of AI-powered cybersecurity tools.

This book contributes to a deeper understanding of the importance of virus detection tools, unauthorized access detection tools, cloud services, and real-time predictive analytics in the finance industry as well as their pivotal role in cybersecurity for preventing data theft. The book provides valuable insights for cybersecurity and cloud services in the financial services industry, aiding administrators, engineers, and managers in fortifying the security and resilience of financial data systems in the face of evolving challenges of financial data theft.

This book is not merely a compilation of technical knowledge - through its engaging and thought-provoking content, the book leaves an indelible impression, urging readers to embrace the transformative power of AI-based technologies and embark on a collective mission to unlock the full potential of cybersecurity as well as cloud services for the improved safety of the global financial ecosystem.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 694
• Erscheinungstermin: 11. Dezember 2025
• Englisch
• ISBN-13: 9781040437629
• Artikelnr.: 75700524

Autorenporträt

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.

Inhaltsangabe

Chapter 1. Role of Artificial Intelligence and Cybersecurity in Banking
Industry Chapter 2. AI-Based Blockchain Technology for Security in
Financial Sector Chapter 3. The Evolution of Cybersecurity Technologies in
Banking and Finance Chapter 4. Navigating Cyber Threats: The Integration of
AI in Banking Security Frameworks Chapter 5. Application of
Blockchain-Driven Data Security in Smart Environments Chapter 6. Blockchain
Technology and AI's Significance for Cyber Security in the Digital Economy
Chapter 7. Cyber-Physical Systems Integration Issues and Data Processing
Platform in the IoT Framework Chapter 8. Internet of Things (IoT) Data
Visualizations for Business Insight in Finance Industry Chapter 9. Machine
Learning-based Security Orchestration, Automation, and Response (SOAR) for
Financial Institutions Chapter 10. Financial Forecasting and Cybersecurity
with Convolutional Neural Networks: Trends and Challenges Chapter 11. AI
Cybersecurity in Banking: Meeting Global Rules beyond EU AI ACT with
Trusted Service Chapter 12. The Role of AI and Fintech in Strengthening
Transnational Anti-Money Laundering Compliance Chapter 13. Quantum
Cybersecurity Technologies in Banking and Finance Chapter 14. Anomaly
Detection Driven by Machine Learning: Enhancing SIEM Tools for Sturdy Cyber
Defense Chapter 15. Artificial Intelligence (AI)-Powered Innovation in
Mortgage Banking Chapter 16. Application of Unified Payment Interface in
Transforming the Digital Landscape of National Banking Chapter 17.
Generative AI: A Review of Continuous Evolving Information Generation
Perspective Chapter 18. Application of Artificial Intelligence in
Cybersecurity Chapter 19. Security Risks at the Software-Defined Networking
Architecture and Infrastructure Layer Chapter 20. Federated Blockchain
based System for Managing Client Complaints Chapter 21. Big Data Analytics
for Fraud Detection in Financial Transactions Chapter 22. Cloud and
Cybersecurity for Banking and Finance Services Chapter 23. Data Privacy
Challenges and Innovations in the Metaverse Financial Ecosystem Chapter 24.
Opportunities, Issues, and Challenges of AI in Cybersecurity