LLM Security Engineering : Red Team Tactics for Prompt Injection, Data Leakage, and OWASP GenAI Compliance

Lingua: inglese

Editore: Amazon Digital Services LLC - Kdp Aug 2026, 2026

9798193047025

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

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Condizione: Nuovo

EUR 48,59

EUR 35,00 spedizione 
Spedito da Germania a U.S.A.

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Descrizione dell’articolo da parte del venditore

Neuware - The rush to deploy Generative AI is leaving enterprise applications dangerously exposed. Are your LLMs secure Traditional AppSec models, WAFs, and standard penetration testing fail when it comes to Large Language Models. In a landscape where natural language is the new attack vector, firewalls cannot stop a cleverly crafted prompt.LLM Security Engineering is the definitive, hands-on guide for security professionals, AI developers, and DevSecOps teams tasked with deploying secure Generative AI in production. Written by an expert AI security engineer, this book bridges the gap between offensive Red Team tactics and defensive engineering, showing you exactly how attackers manipulate LLMs and how to stop them.Instead of theoretical risks, you will dive into practical, repeatable exploit frameworks and robust mitigation strategies. You will learn how to build automated attack surface inventories, harden Retrieval-Augmented Generation (RAG) pipelines, and architect multi-layered output filters that actually work.Inside, you will master: Advanced Prompt Injection: Execute and defend against direct overrides, delimiter breaking, and complex multi-turn conversation poisoning.Indirect Attack Vectors: Secure your system against malicious payloads hidden in retrieved documents (RAG), web content, and tool outputs.Guardrail Bypass & Jailbreaking: Understand token smuggling, persona hijacking, and how to patch vulnerabilities without breaking legitimate user experience.Data Leakage Prevention: Stop training data extraction, system prompt leakage, and PII regurgitation cold.Agent & Tool Security: Sandbox function-calling, scope permissions, and prevent devastating privilege escalation in autonomous AI agents.OWASP GenAI Top 10 Compliance: Map your defenses to industry standards with audit-ready checklists, continuous CI/CD security testing, and automated fuzzing.Whether you are auditing a complex AI agent architecture or building the security review gate for a new enterprise chatbot, this book provides the exact rubrics, test harnesses, and containment procedures you need.Don't wait for a costly data breach or a PR disaster to test your AI's defenses.Scroll up and click 'Buy Now' to secure your LLM applications before attackers do.…

Codice articolo 9798193047025

Titolo
LLM Security Engineering : Red Team Tactics for Prompt Injection, Data Leakage, and OWASP GenAI Compliance
Autore
Bernard Mallin
Editore
Amazon Digital Services LLC - Kdp Aug 2026
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 13
9798193047025
Peso dell'articolo
440 grammi
Dimensioni
244x170x15 mm

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
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