Red Teaming AI Attacking & Defending Intelligent Systems

Red Teaming AI - Attacking & Defending Intelligent Systems is the 1060+ page field manual that shows security teams, ML engineers, and tech leaders how to break - and then harden - modern AI.
INSIDE YOU WILL MASTER
* Adversarial Tactics - data poisoning, inference‑time evasion, model extraction, LLM prompt injection.
* Battle‑hardened Defenses - robust training, MLSecOps pipeline hardening, real‑time detection.
* LLM & Agent Security - jailbreak techniques and mitigations for ChatGPT‑style models.
* Human‑Factor Threats - deepfakes, AI‑powered social engineering, deception counter‑measures.
* STRATEGEMS (TM) Framework - a proprietary, hypergame‑inspired methodology to red‑team AI at scale.
WHY TRUST THIS GUIDE?
Author Philip A. Dursey is a three‑time AI founder and ex‑CISO who has secured billion‑dollar infrastructures and leads HYPERGAME's frontier‑security practice.
WHO SHOULD READ
Security engineers * Red teamers * ML/AI researchers * CISOs & CTOs * Product and policy leaders.
GET THE ULTIMATE ADVANTAGE - CLICK 'BUY NOW' AND OUTPACE AI ADVERSARIES.

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