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