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Agentic AI for Offensive Cybersecurity: Build and automate smarter penetration testing workflows using AI-driven agents

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Livraison entre le Jeudi 11 juin 2026 et le Vendredi 12 juin 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

Master offensive security with Agentic AI, MCP, and n8n. Build automated penetration testing workflows for reconnaissance, exploitation, reporting, and continuous threat intelligence.Key FeaturesBuild end-to-end agentic AI-driven penetration testing workflows using n8n and Model Context Protocol(MCP).Automate reconnaissance, exploitation, payload g...

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Description produit
Marque
GENERIC
Titre principal
Agentic AI for Offensive Cybersecurity: Build and automate smarter penetration testing workflows using AI-driven agents
Editeur
Packt Publishing
Type de produit
Paperback
Présentation du livre
Paperback
Release date
2/25/2026 12:00:00 AM
Langue d'origine
English
ISBN
5722182621
Dimensions
7.5 x 0.93 x 9.25 inches
Nombre de pages de livre
412 pages
Langue - Librairie
English
Résumé
Master offensive security with Agentic AI, MCP, and n8n. Build automated penetration testing workflows for reconnaissance, exploitation, reporting, and continuous threat intelligence.Key FeaturesBuild end-to-end agentic AI-driven penetration testing workflows using n8n and Model Context Protocol(MCP).Automate reconnaissance, exploitation, payload generation, and professional vulnerability reporting with agentic AI agents.Design browser-based security testing tools with MCP, and integrate continuous threat intelligence into your offensive workflows.Book Description AI agents have moved from demos to practical tooling, especially for offensive security work where repeatability and context matter. This book shows you how to apply agentic AI to real penetration testing automation, keeping a human in the loop while speeding up reconnaissance, validation, and reporting.You’ll build end-to-end workflows with n8n for reconnaissance automation, attack surface management, and repeatable testing tasks such as port scanning and PCI segmentation testing. You’ll also create browser-based security testing tools using the Model Context Protocol (MCP), enabling LLM-powered agents to coordinate tooling, manage context, and assist with vulnerability analysis and documentation. The focus is hands-on practice, as you’ll assemble practical offensive workflows for web application testing, exploitation support, and professional pentest reporting, then extend your pipeline with threat intelligence automation, including agents that monitor CVE feeds and keep your testing aligned with emerging risk.If you’re a penetration tester, red teamer, or security engineer looking to make assessments faster, more consistent, and easier to scale across engagements, this book gives you patterns that you can adapt to your environment.What you will learnUnderstand agentic AI principles for offensive securityEvaluate and select AI frameworks for security automationBuild your first AI-driven recon workflow us
Auteur(s)
Orhan Yildirim
Date de parution
2/25/2026 12:00:00 AM