Red Teaming AI: Attacking & Defending Intelligent Systems

Red Teaming AI: Attacking & Defending Intelligent Systems (AI Security Book 1)

Red Teaming AI: Attacking & Defending Intelligent Systems (AI Security Book 1)

Author:Philip A. Dursey (Author)

ASIN: B0F88SGMXG

Publisher finelybook 出版社:‏ AI Security LLC

Publication Date 出版日期: 2025-05-10

Edition 版本:‏ 1st

Language 语言: English

Print Length 页数: 1126 pages

Book Description


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.

GET THE ULTIMATE ADVANTAGE – CLICK 'BUY NOW' AND OUTPACE AI ADVERSARIES.

Amazon Page

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PDF, EPUB | 15 MB | 2025-07-05
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