Philip A. Dursey | 2025 | ASIN: B0F88SGMXG | English | 1060 pages | ePUB, PDF | 16 MB
Series: AI Security, 1
THINK LIKE AN ADVERSARY. SECURE THE FUTURE OF AI.
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.
Red Teaming Ai: Attacking & Defending Intelligent Systems
