Description
Harness the power of Agentic AI, the Model Context Protocol (MCP), and n8n to streamline offensive security operations and build intelligent penetration testing workflows. This practical guide demonstrates how AI-powered agents can automate repetitive security tasks while keeping experienced professionals in control of critical decisions throughout the assessment process.
Focusing on real-world offensive security scenarios, the book walks you through designing complete automation pipelines that improve efficiency across every stage of a penetration test—from reconnaissance and attack surface analysis to exploitation assistance, vulnerability validation, and professional reporting.
Using n8n as the automation platform and MCP to coordinate AI-powered tools and contextual information, you’ll learn how to create modular workflows that integrate seamlessly with modern penetration testing practices. Along the way, you’ll develop browser-based security tools, automate documentation, and build intelligent systems capable of monitoring emerging threats and supporting ongoing security assessments.
Inside the book, you’ll discover how to:
- Understand the fundamentals of Agentic AI and its role in offensive cybersecurity.
- Evaluate AI frameworks for automating penetration testing workflows.
- Build intelligent reconnaissance pipelines using n8n.
- Automate attack surface discovery, network mapping, and port scanning.
- Design repeatable workflows for internal network assessments and PCI segmentation testing.
- Create browser-based web application testing tools powered by the Model Context Protocol (MCP).
- Automate exploitation support, payload generation, vulnerability validation, and security reporting.
- Develop threat intelligence agents that monitor CVE databases and help keep assessments aligned with newly disclosed vulnerabilities.
Throughout the book, you’ll gain practical experience building scalable automation pipelines that reduce repetitive work while improving consistency across security engagements. The emphasis remains on responsible, human-guided offensive security, demonstrating how AI can enhance—not replace—the expertise of professional penetration testers.
Ideal for penetration testers, red team operators, cybersecurity engineers, security architects, CISOs, and security managers, this guide provides practical techniques for incorporating AI-driven automation into modern offensive security operations while maintaining professional standards and ethical best practices.
Topics covered include:
- Introduction to Agentic AI
- AI Frameworks for Security Automation
- Building AI Workflows with n8n
- Attack Surface Management
- Internal Network and PCI Segmentation Testing
- Web Application Security Testing
- Exploitation, Payload Generation, and Reporting
- Cyber Threat Intelligence (CTI) Automation
- Scaling AI Workflows and Ethical Considerations
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