Offensive LLM Security : The Adversarial Guide to Hacking and Exploiting Large Language Models

Language: English

Published by Notion Press, 2026

9798905407635

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - LLM-powered applications are not magic-they are software systems built from prompts, retrieval pipelines, tools, agents, APIs, and trust boundaries. Each layer creates new opportunities for attackers.Offensive LLM Security is a practical guide for pentesters, bug-bounty researchers, application-security engineers, and developers who want to understand how modern AI applications fail. It covers direct and indirect prompt injection, jailbreaking, system-prompt extraction, insecure output handling, RAG poisoning, cross-tenant data leakage, excessive agency, MCP attacks, AI supply-chain risks, and model-serving infrastructure.Through hands-on labs, attack methodologies, measurement techniques, and complete worked engagements, readers learn how to trace attacker-controlled input through an LLM system to a privileged sink and demonstrate meaningful impact.Rather than treating AI security as a collection of clever prompts, this book applies proven application-security thinking to the full LLM stack-helping readers identify, reproduce, measure, report, and remediate real vulnerabilities.

Seller Inventory # 9798905407635

Title
Offensive LLM Security : The Adversarial Guide to Hacking and Exploiting Large Language Models
Author
Anand Patil
Publisher
Notion Press
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798905407635
Item weight
402 grams
Dimensions
280x216x8 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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