Artificial Intelligence in Cybersecurity
Use AI to Protect Your Organization
1st Edition
Published on 3. April 2026
Book
Hardback
344 pages
978-1-3986-2466-5 (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
Reviews / Votes
"Lisa Ventura has written the book our industry has been waiting for. As someone who has spent years navigating the ever-shifting cybersecurity landscape, I found Artificial Intelligence in Cybersecurity to be an absolute gamechanger. Ventura has a rare gift for making complex AI concepts genuinely accessible, while never losing sight of the strategic and operational realities security leaders face every day. From threat intelligence and anomaly detection through to AI-powered SOCs and measuring ROI, this book covers it all with clarity, depth and real-world practicality. If you're serious about staying ahead of AI-driven threats and building an organization that's truly cyber resilient, this is the book you need on your desk." * Moira Robertson, consultant, Audit-Works UK * "Whether you are a novice or seasoned security engineer, Artificial Intelligence in Cybersecurity by Lisa Ventura lays out how to use AI to protect your organization in simple terms. From the history of AI, through to its different applications and attack vectors, it's a must read!" * Colin Darbyshire, customer success director, Purechannels * "This book provides great insights as to how cybersecurity and IT professionals can utilize AI to help detect and prevent threats. Lisa Ventura provides ways organizations can gain a return on investment for utilizing AI with cybersecurity. A great read for cybersecurity professionals." * Andrew Shaw, QA test analyst, LOXAM * "AI has transformed the threat landscape faster than most security teams can adapt. Artificial Intelligence in Cybersecurity provides the clarity the industry needs, combining practical guidance on securing AI with a clear-eyed view of how adversaries are using it to their advantage. This is essential reading for cybersecurity professionals confronting the realities of modern, AI-driven risk." * Lianne Potter, cyber anthropologist and podcast host, Compromising Positions * "Lisa Ventura has written a very valuable and educational book on the evolution of AI/ML. This is not just a must read for the professionals in the AI/ML and cybersecurity industries, but for anyone that may be a consumer, knowingly or not, of the impacts on their privacy, security and autonomy." * Dianna Morikawa, director of sales enablement and sales operations, SmarterD *More details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Product notice
Cloth over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 23 mm
Weight
672 gr
ISBN-13
978-1-3986-2466-5 (9781398624665)
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
E-Book
04/2026
1st Edition
Kogan Page Ltd
€40.49
Available for download
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
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