Agentic AI in Cyber Security
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Beschreibung
This book examines the evolving AI-driven threat landscape and explains how generative and agent-based models can be integrated into zero-trust security architectures. It presents practical frameworks for designing security-oriented AI agents, detailing their architectural components, reasoning and decision-making processes, and deployment. Dedicated chapters analyze real-world applications, including intrusion detection, proactive threat hunting, digital forensics, malware analysis, and critical infrastructure protection. This book further addresses governance, risk management, system resilience, and the strategic implications of increasingly autonomous cyber defense ecosystems.
This book examines the evolving AI-driven threat landscape and explains how generative and agent-based models can be integrated into zero-trust security architectures. It presents practical frameworks for designing security-oriented AI agents, detailing their architectural components, reasoning and decision-making processes, and deployment. Dedicated chapters analyze real-world applications, including intrusion detection, proactive threat hunting, digital forensics, malware analysis, and critical infrastructure protection. This book further addresses governance, risk management, system resilience, and the strategic implications of increasingly autonomous cyber defense ecosystems.
Describes an end-to-end framework treating Agentic AI as a distinct, autonomous cybersecurity paradigm Bridges theory and deployment with practical architectures for realworld, agentdriven cyber defense systems Extends beyond ML security to cover intrusion detection, threat hunting, forensics, and critical infrastructure use
Autor*in
H. L. Gururaj
Themen in »Agentic AI in Cyber Security«
Artificial Intelligence Cybersecurity Information Security AI Safety & Governance Computer Science Data Science Systems Engineering Information Systems Management