Description
AI-Driven Cybersecurity in Finance
Khang, Alex (Ed. / Hrsg.)
ISBN 978-3-032-27929-3 · Springer · XVI, 483 p. 63 illus., 51 illus. in color. ·
Description / Beschreibung
This book presents a comprehensive exploration of how artificial intelligence is transforming security in the finance and banking sector. Structured across 23 chapters, it covers foundational concepts, emerging technologies, evolving threat landscapes, and real-world applications. It explores how artificial intelligence strengthens the protection of financial systems, covering critical areas such as threat detection, fraud prevention, risk management, secure transactions, and data protection.
This book also addresses the unique cybersecurity challenges faced by financial institutions, including sophisticated cyberattacks, regulatory compliance, and the risks introduced by digital transformation and generative AI. It provides practical strategies, models, and frameworks to help organizations detect, prevent, and respond to threats in real time while maintaining operational resilience and trust.
Designed for experts, engineers, professionals, researchers, and students, this volume serves as both a foundational resource and a practical guide. It emphasizes a multidisciplinary approach, integrating technical, operational, and strategic perspectives to build robust, adaptive, and future-ready cybersecurity systems that safeguard the digital finance landscape.
Contents / Inhaltsverzeichnis
Foundations of AI-Driven Cybersecurity in Finance.- The Role of Artificial Intelligence (AI) in the Digital Financial Age.- Digital Banking 4.0: Transforming Financial Services in the Era of Artificial Intelligence.- Smart Cybersecurity Technologies for the Financial Sector.- AI-Driven Hybrid Framework for Financial Fraud Detection Using Risk Modeling and Blockchain Audit.- AI Cybersecurity Paradigms and Strategic Approaches.- Reactive to Predictive: Leveraging AI for Advanced Cyber Defence in the Financial Sector.- Banking on AI: How Artificial Intelligence (AI) is Redefining Cybersecurity Standards.- A Strategic Approach to Adopting and Integrating Artificial Intelligence (AI) Cybersecurity Solutions.- Evaluating the Role of Artificial Intelligence (AI) in Automating Cybersecurity Risk Assessment and Incident Response.- AI-Powered Fraud Detection & Financial Crime Prevention.- AI-Powered Fraud Detection and Prevention in Digital Banking.- Large Language Model (LLM)-Augmented Claims Fraud Detection Using Behavioral Sequence Modeling.- Explainable AI Framework for Unified Fraud and Anomaly Detection using GNN-RNN-SGRU.- Digital Transformation Culture in the Banking Sector: Risks and Prospects for Development.- Cost Effectiveness of AI-powered KYC Management in Commercial Banks.- Secure AI Architectures, Encryption & Federated Systems.- Attribute-Based Encryption Techniques: Enhancing Access Control through CP-ABE and KP-ABE Schemes.- Lightweight Secure Federated Model Aggregation for IoT IDS Using Paillier HE and Merkle-HMAC.- Federated Learning in Financial Risk Prediction: Challenges, Architectures, and Emerging Solutions.- AI in Security Operations, Threat Intelligence & Cyber Defense.- AI-Powered Transformation of Security Operations Centers in Financial Institutions.- Generative Artificial Intelligence (AI) for Anticipatory Threat Identification and Mitigation within Cybersecurity Frameworks.- Next-Gen Financial Security: Combating AI-Powered Cyber Threats with Smart Systems.- Governance, Ethics, Explainability & Responsible AI.- Explainable AI (XAI) to Make Security Decisions Transparent and Trustworthy in Financial Sector.- Artificial Intelligence (AI) Security: Challenges in Ethics, Bias and Responsibility.- Future Technologies and the Evolving Landscape.- Application of Artificial Intelligence (AI) and Blockchain Technology in the Era of Quantum Computing.- Challenges and Opportunities in Financial Internet of Things (FIoT).
Contributors / Mitwirkende
Alex Khang, Professor of IT; World’s Top 1% Scientist (2025); World’s Top 2% Scientist (2024); Ph.D., D.Sc., D.Litt., MBA; AI and Data Scientist; Chief of Technology, Faculty of AI and Data Science, Global Research Institute of Technology and Engineering, United States. Technology Expert and Workforce Consultant for High-Tech Corporations in Vietnam, the EU, and the USA.
Features / Besonderheiten
Strong focus on protecting financial systems, data, and transactions using AI-driven techniques Provides actionable models for threat detection, prevention, and incident response Addresses fraud, cyberattacks, compliance risks, and security challenges in banking and finance
