AI for Security Basics

As AI assistants become part of your daily workflow-writing code, drafting emails, analysing data-they also introduce new attack surfaces. This book gives you a practical security mindset grounded in review, verification, and safer defaults. You will learn to identify prompt injection, data leakage, and AI-generated phishing before they become incidents. Each chapter builds a habit: brief the tool defensively, inspect its output critically, and lock down configurations that limit exposure. Whether you run a solo practice or lead a team, you will walk away with threat models for AI-assisted work, checklists for reviewing generated code and content, and incident response steps when something goes wrong. No scare tactics, no vendor hype-just durable principles that work regardless of which model you use. You will learn when to trust, when to verify, and when not to use AI at all. Part of The AI Maker Library.

About the author

Daniel Osei Vance writes for The AI Maker Library.