Red Teaming AI: Attacking & Defending Intelligent Systems
Think Like an Adversary. Secure the Future of AI.
If attackers poison your models or jailbreak your LLMs, the damage is swift. Red Teaming AI (1060 + pages, PDF/ePub) arms you with the same playbooks used by top AI red teams.
What You’ll Learn
Foundations | Understand AI as an attack surface
Attack Arsenal | Run data‑poisoning, evasion & prompt‑injection labs
STRATEGEMS™ | Deploy a full AI red‑team framework
Defense Playbooks | Harden pipelines & LLMs with proven counter‑measures
Bonus | Updates & private code repo (coming soon)
Perfect For
Security engineers & red teamers
ML engineers shipping production models
CTOs/CISOs briefing boards on AI risk
Reader Feedback
“A curated arsenal for securing intelligent systems.” – ⭐⭐⭐⭐⭐
“The definitive, practical guide to AI security.” – ⭐⭐⭐⭐⭐
🔒 14‑Day No‑Risk Guarantee
If you don’t feel dramatically more prepared to defend AI, email for a full refund—no questions asked.
👉 GET THE BOOK
Red Teaming AI is a 1,060‑page field manual that teaches security engineers, ML builders, and tech leaders how to attack and then fortify modern intelligent systems. Packed with adversarial labs, the proprietary STRATEGEMS™ framework, and lifetime updates, it turns you into the in‑house AI red‑team expert your organization needs.