AI Under Attack
A Practical Guide to Threats, Defenses, and Governance for AI Systems
DOCreated by Kris Kimmerle, David Okeyode
Explore the unique security challenges of generative AI and learn how to protect these systems from real-world threats. You'll move from foundational concepts to hands-on strategies for defending AI models, managing risks, and ensuring compliance across the entire AI lifecycle.
Packt | Jun 2026 | 478 min
What You Will Learn
You'll start by understanding why AI security is different, then dive into technical attack scenarios and practical defenses. Through structured sections, you'll build skills in threat modeling, infrastructure hardening, secure design, and governance. Each topic is grounded in real-world examples and clear, actionable steps.
Key Features
- Defend LLMs, RAG, and agents from prompt injection, jailbreaks, and tool abuse
- Apply Zero Trust principles to AI agents with memory and goal-directed reasoning
- Run governance and red teaming programs aligned to NIST, ISO, and OWASP standards
Target Audience
Designed for cybersecurity professionals, security architects, and technical leaders working with generative AI. If you have a basic grasp of security and cloud concepts, you'll benefit from practical guidance on defending AI systems, managing compliance, and building resilient programs-even if you're new to AI security.
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