Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 667 g
Use AI to Protect Your Organization
Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 667 g
ISBN: 978-1-3986-2464-1
Verlag: Kogan Page
Strengthen AI-enabled cyber resilience and deliver informed, data-led security decisions across your organization.
Artificial Intelligence in Cybersecurity gives senior cybersecurity professionals the proven tools to navigate escalating AI-driven threats and reinforce defensive capability. As attacks grow more complex, this book shows how to apply AI strategically to protect critical assets, strengthen oversight and improve ROI from your security investments.
Written by cybersecurity expert Lisa Ventura MBE, this executive guide explains how AI can elevate detection, prevention and response.
You'll learn how to:
- Deploy AI to enhance threat intelligence, anomaly detection and behavioural analysis
- Build AI-enabled intrusion and endpoint security strategies that deliver measurable results
- Integrate predictive analytics to anticipate attacks and optimize resource allocation
- Use strategic models, checklists and proven frameworks to increase organizational resilience
With actionable tools and insights into emerging AI trends, this book enables security leaders to stay ahead of sophisticated adversaries and deliver stronger cyber outcomes.
Themes include: AI security strategy, threat intelligence, predictive analytics, governance, cyber resilience
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Versicherungswirtschaft
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
Weitere Infos & Material
Section - ONE: The Rise of AI Chapter - 01: Introduction to Artificial Intelligence in Cyber Security Chapter - 02: Fundamentals of Machine Learning and Deep Learning for Cyber Security Chapter - 03: AI Applications in Intrusion Detection Systems Chapter - 04: Behavioural Analysis and Anomaly Detection Techniques Chapter - 05: Natural Language Processing for Threat Intelligence Chapter - 06: AI-Driven Malware Detection and Classification Chapter - 07: Predictive Analytics and Risk Assessment in Cyber Security Chapter - 08: Autonomous Response Systems and Adaptive Security Chapter - 09: AI-Powered Security Operations Centres (SOCs) Chapter - 10: Ethical and Regulatory Considerations in AI Cyber Security Applications Chapter - 11: Future Trends and Emerging Technologies in AI Cyber Security Section - TWO: Leveraging AI in Cyber Security Chapter - 01: Understanding the Cyber Threat Landscape: Challenges and Risks Chapter - 02: Leveraging Artificial Intelligence for Proactive Threat Detection Chapter - 03: Implementing AI-Driven Network Security Solutions Chapter - 04: Enhancing Endpoint Security with Machine Learning Algorithms Chapter - 05: Harnessing AI for Identity and Access Management Chapter - 06: Utilizing Predictive Analytics for Vulnerability Management Chapter - 07: Building Resilient Security Infrastructures with AI Chapter - 08: Integrating AI-Powered Security Orchestration and Automation Chapter - 09: Securing Cloud Environments with AI-Based Solutions Chapter - 10: Continuous Monitoring and Response Using AI-Driven Technologies Chapter - 11: Training and Upskilling the Workforce for AI-Enabled Cyber Security Chapter - 12: Evaluating ROI and Effectiveness of AI-Based Defence Strategies




