Artificial Intelligence for Cyber Security: A Practical Guide to Data Breach Prevention
A guide to using artificial intelligence for cybersecurity, using machine learning to detect threats, prevent breaches, and enhance data protection strategies. See latest price on Amazon.
Quick facts
Topic: Cyber Security
Tags: Cyber Security, Artificial Intelligence, AI Trends
Length: 269 pages
Best for: Readers who want practical, plain-English AI insights with real-world examples.
Because AI in cyber security affects breach response, resilience, trust, and regulatory exposure. Getting the basics right matters long before anyone wheels in the hype machine.
What you’ll learn
Where AI is already being used in cyber security today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind practical cyber security use cases, explained in plain English.
Key themes including threat detection, breach prevention, automation, response.
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Who this book is for
IT security professionals, CISOs, and risk managers who need a practical guide to using AI for threat detection and breach prevention.
What this book covers
A guide to using artificial intelligence for cybersecurity, using machine learning to detect threats, prevent breaches, and enhance data protection.
What makes this book distinct
The uncomfortable truth this book opens with: AI is as powerful a tool for attackers as it is for defenders. The chapters on adversarial AI, deepfake-based social engineering, and AI-generated phishing campaigns are essential reading for anyone who thinks cyber security is just about firewalls and patching.
Not your book? If you're a practising security professional wanting implementation guides or code, look elsewhere — this is strategic and conceptual, written for decision-makers and non-technical managers who need to understand what they're actually defending against.
Jonathan HarrisArtificial Intelligence Author & Host of Turing's Torch AI Weekly
Longer-form context from the retired overview page, now folded into the canonical book route.
Problem framing: where this topic gets messy
In cyber security, the issue is not a lack of alerts. It is signal, speed, and whether defenders can respond faster than attackers adapt. A guide to using artificial intelligence for cybersecurity, using machine learning to detect threats, prevent breaches, and enhance data protection. Pages: 269. Because AI in cyber security affects breach response, resilience, trust, and regulatory exposure. Getting the basics right matters long before anyone wheels in the hype machine.
Practical outcomes
In practical terms, the aim is simple: you should get a more grounded sense of where detection, triage, and response automation help — and where blind trust becomes a liability. That means clearer judgement, fewer lazy assumptions, and a much better sense of where to press further or walk away.
Identify where ai is already being used in cyber security today — and where the claims are running ahead of reality.
Work through the workflows, systems, and trade-offs behind practical cyber security use cases, explained in plain english.
Work through key themes including threat detection, breach prevention, automation, response.
Work through the limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Chapter-level signals
Not a chapter list carved in stone, but the sort of material readers can reasonably expect to work through.
Where AI is already being used
Where AI is already being used in cyber security today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind
The workflows, systems, and trade-offs behind practical cyber security use cases, explained in plain English.
Key themes including threat detection, breach
Key themes including threat detection, breach prevention, automation, response.
The limits, risks, and awkward questions
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
What makes this title distinct
The uncomfortable truth this book opens with: AI is as powerful a tool for attackers as it is for defenders. The chapters on adversarial AI, deepfake-based social engineering, and AI-generated phishing campaigns are essential reading for anyone who thinks cyber security is just about firewalls and patching. Not your book? If you're a practising security professional wanting implementation guides or code, look elsewhere — this is strategic and conceptual, written for decision-makers and non-technical managers who need to understand what they're actually defending against.
