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Artificial Intelligence in Cybersecurity
Use AI to Protect Your Organization
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About the book
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
About the authors
Table of 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
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