HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

• Updated Sep 19, 2025
• Python

A professional platform that simplifies penetration testing by providing a unified dashboard for managing targets, automating scans, integrating diverse tools, and delivering AI-powered insights.

• Updated Oct 12, 2025

CyberX-AI-Digital-Twin is an AI-powered cybersecurity platform that uses digital twin technology to simulate, detect, and analyze cyber threats in a safe, isolated environment. Ideal for researchers, developers, and educators to test and enhance network security.

• Updated Feb 13, 2025
• Python

An awesome list of resources on AI cyber deception, exploring adversarial machine learning techniques used to deceive and secure systems

• Updated Oct 24, 2025

A user-friendly command-line toolkit for WiFi network scanning, handshake capture, and vulnerability reporting—compatible with Termux (Android), Kali Linux, and WSL. For ethical hacking, learning, and authorized penetration testing only.

• Updated Oct 24, 2025
• Python

Scorton is an open-source behavioral cybersecurity framework that makes human trust measurable and programmable. Built with Rust, Python and NodeJS it helps developers and security teams predict, score, and improve human-driven cyber risk and awareness.

• Updated Oct 15, 2025
• Rust

An awesome list of resources on AI cyber deception, exploring adversarial machine learning techniques used to deceive and secure systems

• Updated Apr 20, 2025

Common Attack Pattern Enumerations and Classifications (CAPECTM) - AI-RAG

• Updated Aug 27, 2025
• Python

A telegram text based AI operating on Gemini API resources for most of its operation

• Updated Jun 16, 2025
• Python

VulnHunt with ML is an AI-powered cybersecurity project that leverages machine learning and digital twin technology to simulate, detect, and analyze cyber threats in a safe, isolated environment. Designed for researchers, developers, and educators to experiment with and strengthen network security.

• Updated Sep 11, 2025
• Python

🍯 Discover AI-driven deception resources, including honeypots, datasets, and research, to enhance your defense against cyber threats and adversarial attacks.

• Updated Oct 24, 2025