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Anotace knihy

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.

Parametry knihy

• Plný název: Offensive LLM Security
• Podnázev: The Adversarial Guide to Hacking and Exploiting Large Language Models
• Autor: Anand Patil
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 152
• EAN: 9798905407635
• ID: 53233150
• Nakladatelství: Notion Press Media Pvt. Ltd
• Hmotnost: 370 g
• Rozměry: 280 × 216 × 8 mm
• Datum vydání: 26. June 2026

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