- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
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
Contents
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
