 Название: Artificial Intelligence and Financial Security: Harnessing AI to protect and optimize financial systems
Автор: Piyush Ranjan, Brij Kishore Pandey, Rajiv Avacharmal
Издательство: BPB Publications
Год: 2025
Страниц: 320
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
This book “Artificial Intelligence and Financial Security” explores the transformative power of AI in enhancing and safeguarding financial systems. This comprehensive guide looks into AI-driven solutions for fraud detection, risk management, regulatory compliance, and market forecasting.
With detailed case studies, actionable insights, and expert analyses, the book equips the readers to tackle emerging challenges in financial security. It provides a deep dive into cutting-edge technologies like ML, blockchain, and AI-powered cybersecurity, while highlighting the critical importance of ethical considerations and compliance with financial regulations. Each chapter is thoughtfully structured to guide readers from foundational concepts to practical strategies and insights into future trends in AI-driven finance.
Machine Learning (ML) has become a powerful tool in strengthening financial security, allowing organizations to recognize risk and make data-driven decisions more accurately. The chapter explains the principles of the two major forms of ML techniques namely supervised and unsupervised and their applications in fraud detection, predictive analytics and anomaly detection. ML enables financial institutions to identify suspicious patterns, reduce false positives and increase the overall security of systems.
Additionally, the chapter illustrates some actual use cases of the application of ML to safeguard financial procedures, preparing ground for case studies such as credit card fraud detection and market manipulation analysis. Upon the conclusion of this chapter, readers can wisely navigate through the benefits and challenges of applying ML in tackling both fraud and AML, and will get to know how combining different learning techniques can yield better results for optimal protection against financial loss.
By the end of this book, you will be well-positioned to understand how AI is shaping the future of financial security. You will possess the knowledge to make informed financial decisions and navigate the increasingly AI-driven financial landscape with confidence.
Key Features:
- Practical case studies on AI integration for financial security.
- Strategies to optimize and protect financial systems with AI.
- Insights on emerging AI technologies and trends in finance.
What you will learn:
- Understanding the role of AI in securing and optimizing financial systems.
- Detect fraud and manage risks using AI-driven strategies.
- Apply ML for predictive analytics and anomaly detection.
- Integrate blockchain and AI for enhanced financial security.
- Navigate ethical and regulatory challenges in AI implementation.
- Forecast trends and prepare for AI-driven financial innovation.
Who this book is for:
This book is for financial professionals, AI practitioners, researchers, and policymakers seeking to understand and apply AI in financial security. A basic understanding of finance, technology, or AI concepts is helpful but not mandatory, as the book provides foundational explanations alongside advanced insights.
Contents:
1. Fundamentals of AI
2. Financial Security Basics
3. AI Applications in Financial Security
4. ML in Financial Security
5. Data Privacy and Security in AI Systems
6. Cybersecurity and AI
7. Blockchain and AI in Financial Security
8. Regulatory and Compliance Challenges in AI
9. Human AI Collaboration in Financial Security
10. AI in Financial Markets
11. Challenges and Risks of AI in Finance
12. Future of AI in Financial Security
Appendix A
Appendix B
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Artificial Intelligence and Financial Security: Harnessing AI to protect and optimize financial systems 
