Advanced Threat Modeling and Red Teaming for Agentic AI Systems : Identify, Simulate, and Defend Against Real-World Attacks on AI Agents, Multi-Agent Systems, and Enterprise AI Platforms

Lingua: inglese

Editore: Independently Published Jun 2026, 2026

9798199961622

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 43,10

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

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Descrizione dell’articolo da parte del venditore

Neuware - How do you secure an application that can rewrite its own execution logic at runtime As organizations rapidly deploy autonomous AI agents with direct write access to database engines, internal networks, and cloud infrastructure, traditional perimeter defense models fall short. When your software moves from deterministic code to probabilistic reasoning loops, how do you stop an adversary from hijacking your entire enterprise platform Advanced Threat Modeling and Red Teaming for Agentic AI Systems provides the definitive, production-first blueprint to secure non-deterministic software deployments. This comprehensive technical guide skips basic introductory concepts to deliver hard-hitting offensive engineering strategies, automated vulnerability testing pipelines, and zero-trust defensive hardening patterns. It addresses the unique architectural realities of modern multi-agent systems, shifting your security posture from reactive prompt filtering to code-enforced, continuous validation across your entire cluster fabric.What advantages will you gain by engineering your security framework from the ground up This manual equips platform architects, security engineers, and DevSecOps teams with the exact technical skills required to build an automated, self-healing defensive lifecycle.By implementing the production-grade methodologies detailed inside, you will acquire the skills to: - Build stateful autonomous red team agents to programmatically simulate complex, multi-turn adversarial cascades.- Embed declarative automated fuzzing and prompt regression scanners directly into containerized CI/CD pipelines as mandatory release quality gates.- Inject semantic faults and behavioral noise to evaluate multi-agent swarm resilience and configure robust infrastructure circuit breakers.- Decouple tool execution privileges from volatile model logic using relationship-based access control models.- Harden human-in-the-loop approval interfaces against context-spoofing and parameter manipulation exploits.- Establish weighted risk quantification frameworks that translate probabilistic alignment flaws into deterministic business risk metrics.Do not wait for a critical semantic breach to expose your core infrastructure. Secure your autonomous workflows, harden your multi-agent networks, and enforce strict policy-as-code gates today.Buy your copy now to deploy production-grade defense validation across your enterprise platform.…

Codice articolo 9798199961622

Titolo
Advanced Threat Modeling and Red Teaming for Agentic AI Systems : Identify, Simulate, and Defend Against Real-World Attacks on AI Agents, Multi-Agent Systems, and Enterprise AI Platforms
Autore
Gibbs Marcel
Editore
Independently Published Jun 2026
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 13
9798199961622
Peso dell'articolo
566 grammi
Dimensioni
254x178x17 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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