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.

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Spis treści

Agentic AI for Offensive Cybersecurity. Build and automate smarter penetration testing workflows using AI-driven agents eBook -- spis treści

• 1. Introduction to Agentic AI
• 2. AI Frameworks for Security Automation
• 3. Building Your First AI Workflow in n8n
• 4. Agentic AI for Attack Surface Management
• 5. Internal Network and PCI Segmentation Testing
• 6. Web Application Testing with Agentic AI
• 7. Exploitation, Payload Generation, and Reporting
• 8. Learning, Research, and CTI Agents
• 9. Scaling and Ethical Considerations