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.

PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.

CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, and comprehensive lifecycle management capabilities.

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.

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.

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.

⚙️ Enable AI agents to conduct autonomous penetration testing on any Linux distribution with a persistent and robust Model Context Protocol server.

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

Common Attack Pattern Enumerations and Classifications (CAPEC™) - AI-RAG

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

AI-powered Threat Intelligence RAG application using Streamlit, ChromaDB, MITRE ATT&CK integration and local LLMs.

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.

Personal academic profile repository — highlights my research in AI, Machine Learning, and Cybersecurity for IoT & Network Systems.

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