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Kali Linux + Claude? We’re Building Penligent — Turning Natural Language Into Precise Security Actions https://penligent.ai/ In this video, we introduce Penligent, an AI-powered penetration testing workspace built for real security execution — not just “chat.” While many workflows stop at suggestions, Penligent converts natural language into precise, tool-level security actions, helping you go from recon → verification → reporting with speed and control. What you’ll see: Penligent supports multi-language UI (auto-switches with your system language), plus Light/Dark mode for a clean operator experience. Before running tasks, make sure your Python environment is configured, otherwise Python scripts won’t execute. Penligent is designed to be customizable: You can modify pentesting methods, and your changes become reusable private agent skills that interact directly with the AI — essentially your own internal skill library. Built-in utilities for traffic analysis and code conversion help with day-to-day security workflows. Start by creating a project in the chat, enter your target, and optionally provide target context to improve accuracy. For verification, Penligent can work with a headless browser to validate real-world behaviors. In the first ~10 minutes after a target is started, Penligent uses built-in composite scanners (including sources like FOFA) to help with discovery. Then the AI plans attack paths, grades targets, and produces an editable route you can refine with natural-language instructions. After testing, Penligent generates reports aligned with SOC and ISO-style expectations — and you can edit them before exporting. If you’re a security engineer who wants an AI that actually executes, verifies, and documents — this is what we’re building. #Penligent #KaliLinux #CyberSecurity #PenetrationTesting #AI #SecurityAutomation #RedTeam #BugBounty #AppSec #DevSecOps