Agentic AI for Offensive Cybersecurity
Build and automate smarter penetration testing workflows using AI-driven agents
Created by Orhan Yildirim
Explore how AI-driven agents can transform offensive cybersecurity by automating key penetration testing tasks. Discover practical ways to speed up reconnaissance, exploitation, and reporting while keeping human oversight at the center. Gain hands-on experience building smarter, repeatable workflows for real-world security challenges.
Packt | Feb 2026 | 412 min
What You Will Learn
You will work through realistic offensive security scenarios and assemble your own automated workflows using n8n and Model Context Protocol. Each step is designed to help you apply agentic AI to real tasks, from initial recon to reporting, so you can confidently streamline and scale your pentesting process.
Key Features
- Automate reconnaissance and attack surface management with AI-powered workflows
- Build browser-based security testing tools that coordinate and document findings
- Integrate continuous threat intelligence to keep assessments aligned with new risks
Target Audience
Ideal for cybersecurity professionals, penetration testers, and red teamers with some experience in security testing. If you want to enhance your workflows with AI automation and keep up with evolving threats, this content will help you build practical skills and apply them directly to your work.
