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Agentic AI for Cybersecurity: Building Autonomous Defenders and Adversaries

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Livraison entre le Jeudi 10 septembre 2026 et le Vendredi 11 septembre 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

Agentic AI for Cybersecurity: Building Autonomous Defenders and AdversariesUnlock the power of next‑generation AI agents to transform cybersecurity, business operations, and productivity.Agentic AI has transformed cybersecurity and other domains with autonomous, intelligent software agents that can plan, reason, and take action. Instead of simply a...

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Description produit

Marque
GENERIC
Titre
Agentic AI for Cybersecurity: Building Autonomous Defenders and Adversaries
Éditeur
Cisco Press
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
5/25/2026 12:00:00 AM
Langue d'origine
English
ISBN
135589851
Nombre de pages
368 pages
Langue
English
Résumé
Agentic AI for Cybersecurity: Building Autonomous Defenders and AdversariesUnlock the power of next‑generation AI agents to transform cybersecurity, business operations, and productivity.Agentic AI has transformed cybersecurity and other domains with autonomous, intelligent software agents that can plan, reason, and take action. Instead of simply answering questions, these agents work like digital analysts using tools and adapting to new information, while collaborating with humans and other agents to get real work done.Agentic AI for Cybersecurity is a practical, hands‑on guide to building, deploying, and securing these systems. Written in plain English, the book explains how modern agentic AI frameworks (such as LangChain, LangGraph, CrewAI, and LlamaIndex) enable autonomous, multi‑agent systems, and how frameworks like Model Context Protocol (MCP) and agent‑to‑agent (A2A) are creating an emerging Internet of Agents.Through step‑by‑step projects and real‑world case studies, readers learn how to apply agentic AI to cybersecurity defense, adversarial testing, business automation, and productivity workflows. The book also addresses critical risks, including adversarial threats, governance, and compliance. The goal is to make security a first‑class concern, not an afterthought.Designed for both technical and non‑technical readers, this book bridges the gap between AI theory and real‑world impact.Key FeaturesHands‑on projects with practical examples for building and deploying AI agentsCovers leading agentic AI frameworks and protocols (LangChain, CrewAI, LangGraph, MCP, A2A, n8n, OpenAI Agent Builder, and more)Security‑first approach with dedicated coverage of adversarial threats and governancePlain‑English explanations with diagrams, exercises, and GitHub resourcesWho This Book Is ForCybersecurity professionals, AI engineers, developers, architects, business and technology leaders, or anyone looking to understand and apply agentic AI responsibly and effectively. Read
Auteur
Omar Santos
Date de parution
5/25/2026 12:00:00 AM