Practical AI Security

Unlock the intricacies of AI security with Harriet Farlow's 'Practical AI Security'. This book is not just another cybersecurity manual; it zeroes in on the unique challenges AI systems face today. Readers will gain hands-on experience through Python-based Colab notebooks, covering everything from understanding AI threats to implementing defenses and controls.

What You'll Learn

• How to identify and mitigate AI threats
• Techniques for attacking and defending AI systems
• Red teaming strategies specific to AI
• Implementing AI governance and safety measures
• Understanding the nuances of AI vs. traditional cybersecurity

Who This Book Is For

This book is ideal for cybersecurity professionals, data scientists, and AI developers looking to deepen their knowledge of AI-specific security challenges. A basic understanding of AI concepts is recommended.

What You Need to Know First

Familiarity with Python and a foundational understanding of AI principles are essential to fully benefit from the hands-on exercises in this book.

Why This Book

Unlike other security guides, this book offers a hands-on approach with real-world examples and Python-based exercises, making it a practical resource for professionals.

What's Inside

Authored by Harriet Farlow and published by No Starch Press, this 392-page guide includes ten comprehensive chapters, practical examples, and real-world case studies.