Generative AI in Cybersecurity: Threats, Defence, Applications and Governance

Generative AI in Cybersecurity: Threats, Defence, Applications and Governance provides a comprehensive examination of the rapidly evolving relationship between generative artificial intelligence and cybersecurity. The book explains how generative models function and how they are being applied across threat intelligence, security operations, malware analysis, secure software development, intrusion detection and fraud prevention. It also examines the growing use of generative AI by malicious actors for social engineering, deepfakes and offensive cyber operations. Special attention is given to security threats targeting AI systems themselves, including prompt injection, data poisoning, model extraction and supply-chain compromise. The later chapters explore secure architectures for language-model applications and AI agents, red teaming, security evaluation, deepfake detection, content provenance, privacy-preserving techniques and emerging legal and regulatory frameworks in India and internationally. Supported by practical examples, figures, tables, review questions and discussion cases, the book is designed for students, researchers, cybersecurity professionals, academicians and practitioners seeking a structured understanding of both the opportunities and risks of Generative AI in modern cybersecurity.