


Fully autonomous AI Agents system capable of performing complex penetration testing tasks

Automated Penetration Testing Agentic Framework Powered by Large Language Models

autonomous red teaming platform; multi-agent offensive-security meta-harness

Modular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…

📡 Comprehensive collection of OSINT tools for cybersecurity professionals, researchers, and bug bounty hunters. Topics: information gathering,…

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation…

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation…

AI-powered dark web OSINT tool that uses LLMs to refine queries, filter search results, and generate investigation summaries with a web UI and Docker…

AI agent framework for black-box security testing with autonomous multi-agent orchestration, built-in pentesting tools, and MCP integration for bug…

Autonomous Hacking Agent for Red Team

AI-powered bug bounty hunting toolkit that works with or without subscription.

AI-powered bug bounty hunting toolkit that works with or without subscription.

AI-powered penetration testing assistant using local LLM on linux (Parrot OS)

Autonomous AI red team agent for penetration testing with 13+ specialized agents, 120+ OWASP test cases, and MITRE ATT&CK integration. Supports 15+…

AI-driven penetration testing agent that connects to a Kali box, autonomously runs security tools, analyzes results, and iterates through…


Bidirectional token-classification model for PII detection and masking in text, with CLI for redaction, evaluation, and finetuning on-premises.