Artificial Intelligence in Cybersecurity
Use AI to Protect Your Organization
1st Edition
Published on 3. April 2026
296 pages
978-1-3986-2465-8 (ISBN)
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
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
More details
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Edition type
New edition
File size
2,54 MB
ISBN-13
978-1-3986-2465-8 (9781398624658)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
04/2026
1st Edition
Kogan Page Ltd
€69.10
Shipment within 10-20 days
Book
04/2026
1st Edition
Kogan Page Ltd
€45.50
Shipment within 10-20 days
Person
Lisa Ventura is an award-winning cyber security specialist, published author, journalist and keynote speaker. She is the Chief Executive and Founder of the AI and Security Association, a membership body and trade association that has been set up as the global voice of AI and security and to promote the safe, secure, responsible and ethical use of AI. In addition, she is the Founder of Cyber Security Unity, Neuro Unity and AI Unity that all sits under the banner of Unity Group Solutions Limited. She is based in Worcester, UK.
Content
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
