Next-Gen Pentesting: Using AI to Accelerate - 2025 version
About this course
OverviewAI is transforming the penetration testing landscape—not by replacing skilled professionals, but by automating the repetitive, time-consuming tasks that slow you down. This course is a hands-on, practical guide to integrating AI into your offensive security workflow, focusing on real-world use cases that save time and boost efficiency. What You’ll CoverAI Automation in Reconnaissance: Learn how to use AI to automate asset discovery, subdomain enumeration, and OSINT gathering, freeing up your time for deeper analysis.Command Optimization: Discover how AI can suggest, generate, and validate command-line arguments for tools like Nmap, Nikto, and Metasploit, reducing errors and increasing precision.Vulnerability Scanning & Reporting: Integrate AI-driven tools to streamline vulnerability scanning, triage findings, and auto-generate professional reports.Limitations & Best Practices: Understand where AI excels and where human expertise is irreplaceable. Learn to identify tasks best suited for automation versus those requiring manual intervention. Why Take This Course?Hands-On Demos: Every module includes practical labs and real-world scenarios.Tooling Focus: Get up to speed with the latest AI-powered pentesting tools, scripts, and APIs.No Fluff: Direct, actionable content designed for busy security professionals.By the end of this course, you’ll be able to leverage AI to automate your pentesting workflow, optimize your tool usage, and focus your expertise where it matters most.Happy hacking with AI.
69/100
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- What the provider tells you
- 45/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- automating asset discovery
- subdomain enumeration
- OSINT gathering
- optimizing command-line arguments for tools like Nmap and Metasploit
- streamlining vulnerability scanning
- auto-generating professional reports
Course objectives
- integrate AI into security workflows
- identify tasks suitable for automation
- enhance efficiency in penetration testing
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