Artificial Intelligence and Machine Learning for Intelligent Cyber Defense

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Authors: Kavita Lal
Cited by: 0
References: 12

Abstract

The instant growth of digital technology has greatly augmented the size, depth, and complexity of cyber threats. Traditional rule-based and signature -based security methods are no more enough. This chapter discovers the game-changing role of AI and ML in constructing smart, responsive, and practical cyber defence systems. It tells you what the core concepts are behind AI and ML, and how they can be put to work finding threats, identifying anomalous behaviour, and tagging malware. It cites real-world products like, Darktrace, IBM Watson for Cybersecurity and Microsoft Defender to give examples. It also addresses the issues with using AI and ML for cybersecurity. The chapter also describes upcoming developments such as federated learning, AI-backed Security Operations Centres, quantum-secured AI, cognitive security. Ultimately, it says that AI and ML are not substitutes for human expertise but should serve as collaborators in building resilient and flexible cyber environments.

Fields of Study & Subjects

Network Security and Intrusion Detection Adversarial Robustness in Machine Learning Advanced Malware Detection Techniques

Publication details

Journal / source
IGI Global eBooks
Pages
1–28
Publication date
4 March 2026
Language
NG
Document type
Book chapter