

Zero-trust agentic AI platform. Supports SaaS and OnPrem (airgapped) deployments.

Open-source interactive security awareness training library with 130+ SCORM exercises covering phishing, vishing, BEC, MFA fatigue, and OWASP AI/LLM…

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

An open-source, self-hosted AI-powered SIEM, EDR and SOAR platform for modern security operations.

Autonomous AI penetration testing agent that orchestrates multi-agent recon, exploitation, post-exploitation, and reporting with persistent…

Research pipeline for detecting latent indirect prompt-injection exposure signals in agentic LLMs via hidden-state probing, including trace…

Security awareness training tool for authorized phishing simulations and internal IT audits

AI-driven endpoint governance platform that monitors software usage, applies deterministic policy-based risk classification, and generates structured…

Autonomous Hacking Agent for Red Team

Automated Penetration Testing Agentic Framework Powered by Large Language Models

Intentionally vulnerable banking platform for practicing web application, API, and AI/LLM security testing, secure code review, and DevSecOps…

Technical disclosure: Credential fabrication via XML tag injection in Claude Sonnet 4.6. Reported June 14 2026, patched June 18 2026.

An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE…

Defensive engagement & threat intelligence research laboratory. Converts inbound scam emails into actionable IOCs through controlled, policy-driven…

An open, local-first security testing platform for pentesters, AI agents, CI/CD pipelines, and teams.

A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.

Open-source AI security platform providing perimeter defense for LLMs and AI agents through swarm analysis, policy enforcement, adversarial testing,…