Packt.Publishing.-.Agentic.AI.For.Offensive.Cybersecurity.2026.RETAIL.EPUB.eBook-CTO

Section
eBooks/Audiobooks
Group
CTO
Size
78,02 MB
Files
11
Date
2026-09-09

NFO

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                                Packt Publishing
                                 Orhan Yildirim
                     Agentic AI For Offensive Cybersecurity
                                      N/A
                                      2026
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      Publisher > Packt Publishing
      Author    > Orhan Yildirim
      Title     > Agentic AI For Offensive Cybersecurity
      Issue     > N/A
      Year      > 2026
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      ISBN      > 9781806114474
      Pages     > 412
      Genre     > Security-Engineering
      Language  > English
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      Type      > RETAIL
      Media     > TECH
      Format    > .epub
      Section   > eBook
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      Published > 2026-02
      Release   > 2026-09-09
      Disks     > 09 x 10 MB
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                 -  - --   [ D E S C R I P T I O N ]   -- -  -
    Master offensive security with Agentic AI, MCP, and n8n. Build automated   
   penetration testing workflows for reconnaissance, exploitation, reporting,  
   and continuous threat intelligence. Key Features Build 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. Youll 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. Youll 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 youll 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  
    youre 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 learn Understand agentic AI principles for     
       offensive security Evaluate and select AI frameworks for security       
    automation Build your first AI-driven recon workflow using n8n Automate    
   attack surface discovery and port scanning with AI Design PCI segmentation  
   testing workflows with n8n Build web app testing tools using MCP Automate   
   exploitation, payload generation, and reporting Create threat intelligence  
  agents that monitor CVE feeds Who this book is for This book is perfect for  
   cybersecurity professionals, penetration testers, red teamers, CISOs, and   
   security managers. If you're aiming to understand how AI-driven automation  
  can enhance offensive cybersecurity workflows and vulnerability management,  
           you'll find valuable insights and practical guidance here.          
                  -  - --   [ R E T A I L   U R L ]   -- -  -                  
        https://www.packtpub.com/en-us/product/agentic-ai-for-offensive-       
                          cybersecurity-9781806114467                          
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