AI Security in Production : Defending LLMs and ML Systems Against Prompt Injection, Adversarial Attacks, Model Poisoning, and Supply Chain Threats

Lingua: inglese

Editore: Independently Published Jun 2026, 2026

9798183897050

Serie: Libro 13 di 21 - Production AI Engineering Series

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 18,89

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

Quantità: 2 disponibili

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Descrizione dell’articolo da parte del venditore

Neuware - Protect Your AI Infrastructure Against Modern Adversarial ThreatsAs organizations rapidly deploy large language models (LLMs) and autonomous AI agents into production, a critical new attack surface has emerged. Traditional cybersecurity protocols-built for firewalls and APIs-are fundamentally blind to these specialized threats. AI Security in Production is your definitive, hands-on engineering guide to securing machine learning systems across the modern enterprise stack.This comprehensive manual cuts through the theoretical hype to deliver deep technical analysis and practical defense frameworks. You will understand how adversaries exploit LLM vulnerabilities at a mechanistic level and, more importantly, how to build resilient mitigation architectures that preserve system performance.What you will master inside this book: - Defeating Prompt Injection: Neutralize direct jailbreaks and complex indirect injection attacks targeting Retrieval-Augmented Generation (RAG) pipelines.- Securing the Model Supply Chain: Implement robust controls against training data poisoning, supply chain backdoors, and malicious pre-trained models from public repositories.- Robustness Engineering: Mitigate adversarial examples, evasion tactics, and critical inference-time data leakage vulnerabilities.- Agentic AI & MCP Security: Safely deploy autonomous agents and Model Context Protocol (MCP) servers interacting with production environments.- DevSecOps & Compliance: Shift-left by integrating ML security into your CI/CD pipelines while aligning with NIST AI RMF, OWASP GenAI Top 10, and the EU AI Act.Whether you are a security engineer, ML developer, or DevSecOps practitioner, this book equips you with the exact methodologies, red teaming frameworks, and production-ready open-source tools required to build resilient, trustworthy AI systems today. …

Codice articolo 9798183897050

Titolo
AI Security in Production : Defending LLMs and ML Systems Against Prompt Injection, Adversarial Attacks, Model Poisoning, and Supply Chain Threats
Autore
Chatvariety Team
Editore
Independently Published Jun 2026
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 13
9798183897050
Peso dell'articolo
139 grammi
Dimensioni
229x152x5 mm
Serie
Libro 13 di 21: Production AI Engineering Series

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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