As someone relatively inexperienced with network threat hunting, I wanted to get some hands-on experience using a network detection and response (NDR) system. My goal was to understand how NDR is used ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

PenGym is a framework for creating and managing realistic environments used for the training of Reinforcement Learning (RL) agents for penetration testing purposes. PenGym uses the same API with the ...

Artificial Intelligence (AI) refers to computer programs designed to perform tasks that typically require human intelligence. These include learning, problem-solving, decision-making, and perception.

🤖 A heuristic-driven wrapper around Nmap with rule-based scan optimization, NSE script scaffolding, and an extensible plugin system. (The "AI" today is rule-based — a real ML layer is on the roadmap, ...

In the constantly changing landscape of cybersecurity, vulnerability scanning is one of the easiest yet most effective methods of keeping ahead of the game. Whether you're running a website, an IT ...

My home and home lab network are a mess. Over the years, connecting my lab's physical and virtual machines (VMs), SAN, NAS, and other projects using various network switches, and routers have become a ...

Why Scan Your WiFi Network? Scanning your WiFi network is crucial for identifying and managing devices connected to your network, ensuring security, and optimizing performance. This tutorial will ...

Scanning your local network on macOS can be a powerful tool for network administrators and curious users alike, providing valuable insights into the devices connected to your network. Here’s a step-by ...