# AI Under Attack: AI Security Guide

AI Under Attack is a practical guide to threats, defenses, and governance for AI systems. Its coverage spans prompt injection, RAG, agent security, system hardening, red teaming, and security programs, with a practitioner toolkit and a claimed free PDF eBook for print or Kindle purchases.

- [Original product page](https://best-deals.pro/product/ai-under-attack-ai-security-guide)
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- Market: US
- Language: en-US
- Currency: USD
- Price: 39.99 USD
- Previous price: 59.99 USD
- Discount: 33%
- Price checked: 2026-11-14T05:50:44.067Z
- Rating: 5 / 5
- Reviews: 5

Prices and deal status are the latest recorded data, not a guarantee of availability. Confirm the price and availability with the store.

## At a glance

- Organizes topics across AI foundations, attacks, secure system design, and security programs.
- Covers prompt injection, jailbreaks, RAG vulnerabilities, agent exploitation, data poisoning, and red teaming.
- Addresses infrastructure and MLOps hardening, API security, guardrails, supply-chain integrity, and Zero Trust for agents.
- Includes governance topics referencing NIST AI RMF, ISO 42001, and OWASP for LLMs.
- Listing says the print or Kindle book purchase includes a free PDF eBook.

## Pros

- Broad scope connects AI-specific attack methods with system defense and organizational governance.
- The chapter-specific Field Artifacts in the Practitioner Toolkit are intended to support practical security work.
- Covers both technical controls and communication of AI risks to business stakeholders.

## Specifications

### Publication details
- Publisher: Packt Publishing
- Publication date: June 30, 2026
- Language: English
- Print length: 478 pages
- ISBN-10: 1806119935
- ISBN-13: 978-1806119936
### Dimensions and installation
- Weight listed: 1.79 pounds
- Dimensions: 7.5 x 1.08 x 9.25 inches

## Before you buy

- The book is aimed mainly at readers with foundational cybersecurity knowledge. The listing says basic security familiarity, some cloud exposure, and a fundamental grasp of AI/ML are expected, though prior AI security expertise is not required.

## A good fit for

- Cybersecurity professionals and security architects assessing generative AI deployments.
- AI/ML engineers, red teamers, DevSecOps practitioners, governance specialists, compliance officers, and technology leaders.
- Readers seeking one guide that addresses technical AI threats alongside governance and security-program practices.

## Less suited to

- Readers seeking an introductory treatment of cybersecurity or AI/ML fundamentals.
- Readers looking for a narrow, code-focused manual on a single AI platform or security issue.

## Customer feedback

The supplied rating data is entirely five-star, but it represents only a small number of ratings and includes no written review evidence. It offers limited guidance on how readers assess the book's practical depth, clarity, or usefulness, so buyers should judge fit from the stated coverage and recommended background.

## Frequently asked questions

### What AI security topics does the book cover?
The listing describes coverage of prompt injection, jailbreaks, memory and context abuse, RAG vulnerabilities, agent exploitation, training-data poisoning, and red teaming, alongside secure system design and governance.
### Does it cover governance as well as technical defenses?
Yes. Its described scope includes AI governance, risk and compliance, security operations, and programs, as well as infrastructure, applications, APIs, and agents.
### What background does the listing recommend?
It recommends foundational cybersecurity knowledge, some exposure to cloud platforms, and a basic grasp of AI/ML. Prior AI security expertise is not required according to the listing.
### Is a PDF eBook included?
The listing claims that a print or Kindle purchase includes a free PDF eBook. Confirm the terms for the specific format and listing before purchase.

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## Images

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