Description
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.
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.
Table of 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
Piyush Ranjan is a seasoned technology leader and Assistant Vice President at a leading financial firm in the USA, with 18+ years of expertise in artificial intelligence, security, and financial systems.
Brij Kishore Pandey is a Principal Software Engineer at ADP in USA with 15+ years of experience specializing in designing, developing, and delivering scalable and robust applications.
Rajiv Avacharmal brings 15+ years of expertise in AI and model risk management, specializing in the validation, implementation, and monitoring of AI/ML/GenAI models.
