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Agentic AI for Offensive Cybersecurity: Build and automate smarter penetration testing workflows using AI-driven agents
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Master offensive security with Agentic AI, MCP, and n8n to automate penetration testing workflows.
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- 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 using n8nAutomate attack surface discovery and port scanning with AIDesign PCI segmentation testing workflows with n8nBuild web app testing tools using MCPAutomate exploitation, payload generation, and reportingCreate threat intelligence agents that monitor CVE feedsWho this book is forThis 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.Table of ContentsIntroduction to Agentic AIAI Frameworks for Security AutomationBuilding Your First AI Workflow in n8nAgentic AI for Attack Surface ManagementInternal Network and PCI Segmentation TestingWeb Application Testing with Agentic AIExploitation, Payload Generation, and ReportingLearning, Research, and CTI AgentsScaling and Ethical Considerations
| Publisher | Packt Publishing |
| Publication date | 25 Feb. 2026 |
| Language | English |
| Print length | 412 pages |
| ISBN-10 | 180611447X |
| ISBN-13 | 978-1806114474 |
| Dimensions | 19.05 x 2.36 x 23.5 cm |
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English edition Orhan Yildirim Format: Paperback Network Security Editorial Review
Agentic AI For Offensive Cybersecurity Build And Automate Smarter Penetration Testing Workflows Using AI-driven Agents offers valuable insights into enhancing penetration testing efficiency with AI-driven methodologies. The book is published by Packt Publishing and spans 412 pages, providing comprehensive coverage of its subject. This makes it an essential resource for those looking to elevate their cybersecurity practices. Users have appreciated the detailed guidance and practical applications that can be directly implemented in real-world scenarios, ensuring that they remain ahead in the rapidly evolving field of cybersecurity.
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Pros
- Comprehensive guide on AI in cybersecurity
- In-depth exploration of penetration testing
- Practical applications for real-world use
- Well-structured and easy to follow
- Latest techniques in offensive cybersecurity
Cons
- Could benefit from more case studies
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Features & Benefits
- Build automated penetration testing workflows with AI-driven agents.
- Enhance speed and accuracy in reconnaissance, exploitation, and reporting.
- Utilize Model Context Protocol (MCP) for browser-based security tools.
- Integrate continuous threat intelligence into your testing processes.
- Hands-on examples make complex automation accessible and practical.
- Ideal for penetration testers, red teamers, and cybersecurity professionals.
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