Protecting Enterprise Networks
Buch, Englisch, 227 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-14683-0
Verlag: Springer Nature Switzerland AG
AI-Powered Cybersecurity Essentials: Protecting Enterprise Networks explores how modern AI and machine learning safeguard complex, hybrid enterprise environments. The book progresses from cybersecurity and ML foundations to applied defenses: AI-enhanced intrusion detection, malware and APT discovery, automated incident response, and predictive threat intelligence with risk analysis. It then covers securing cloud and hybrid networks, protecting IoT and edge devices, rigorous evaluation and validation of AI-driven solutions, and the ethical and regulatory guardrails that govern responsible deployment, closing with actionable future trends.
Written for security architects, SOC analysts, network engineers, and researchers, the book blends principles with practical patterns, reference workflows, and implementation checklists. Readers will learn to design and tune AI-assisted controls, integrate them with existing stacks, operationalize detection and response, measure effectiveness, and navigate governance and compliance—so they can confidently deploy resilient, human-centered, AI-enabled defenses across the enterprise.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- Introduction to AI in Cybersecurity.
.- Foundation of Cyber Security.
.- Machine Learning Essentials for Cybersecurity.
.- AI-Enhanced Intrusion Detection Systems (IDS).
.- Artificial Intelligence in Malware and Advanced Persistent Threat (APT) Detection.
.- Automated Incident Response and Security Automation.
.- AI for Predictive Threat Intelligence and Risk Analysis.
.- Securing Cloud and Hybrid Networks with AI: Architectures, Techniques, and Future Directions.
.- Protecting IoT and Edge Devices Using AI.
.- Ethical and Regulatory Aspects of AI in Cybersecurity.
.- Evaluating and Validating AI-Driven Cybersecurity Solutions.
.- Future Directions and Emerging Trends.




