Intelligent Cyber Defense Ecosystems
Abstract
The emergence of massively scaled and highly automated digital infrastructures has increased the size, velocity, and complexity of cyber threats revealing the weaknesses of the traditional rule-based and disconnected AI-based protection systems. Even though the recent developments in artificial intelligence and machine learning have enhanced detection methods, much of the deployed systems are still weak, nontransparent, or are still not in line with human judgment during complicated or unclear attack situations. Current strategies essentially consider analytics, automated response, and human control discordantly, a feature that limits flexibility and usually causes unstable choices or overload of alerts in real applications. In a bid to fill this gap, this paper suggests an Intelligent Cyber Defense Ecosystem (ICDE) which integrates AI-based threat analytics, adaptive response orchestration, and structured human-in-the-loop governance into one closed-loop architecture.
Fields of Study & Subjects
Network Security and Intrusion Detection
Information and Cyber Security
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- IGI Global eBooks
- Pages
- 29–56
- Publication date
- 4 March 2026
- Language
- NG
- Document type
- Book chapter