AI-Driven Cybersecurity in Finance
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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.
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.
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
Autor*in
Alex Khang
Themen in »AI-Driven Cybersecurity in Finance«
AI Cybersecurity Cybersecurity Digital Finance Finance Banking Digital Age Data security Threat Detection Anomaly detection Encryption technique Explainable AI Blockchain Federated learning Financial risk prediction Digital transformation