ai-red-team

🐢 Open-Source Evaluation & Testing library for LLM Agents

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

AI Red Teaming playground labs to run AI Red Teaming trainings including infrastructure.

Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪

A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.

An offensive/defense security toolset for discovery, recon and ethical assessment of AI Agents

Open-source autonomous AI penetration testing. 50 specialist agents across web, API, cloud, Active Directory, Kubernetes, CI/CD and AI/LLM (OWASP LLM Top 10). Runs on a local LLM behind a Privacy Gateway. Integrates with GitHub, GitLab, Jenkins, VS Code, JetBrains, n8n, Grafana & Splunk.

A comprehensive guide to adversarial testing and security evaluation of AI systems, helping organizations identify vulnerabilities before attackers exploit them.

LLM | Agentic | Security | Operations in one github repo with good links and pictures.

A professional AI security range for red teaming, vulnerability research, defensive validation, and hands-on AI/ML security training.

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

An open source plugin for enabeling claude to gain offensive pentesting capabilities

Open-source AI security lab: EN/RU academy, public Rust defenses, research and local input evaluation. Explore Spectorn for live protection.

AspGoat is an intentionally vulnerable ASP.NET Core application for learning and practicing web application security.

Open-Source autonomous security operations and red teaming agent built to help defenders investigate threats, analyze vulnerabilities, assess indicators of compromise, generate hardening guidance, and execute security research through an auditable agent workflow.

LMAP (large language model mapper) is like NMAP for LLM, is an LLM Vulnerability Scanner and Zero-day Vulnerability Fuzzer.

🤖🛡️🔍🔒🔑 Tiny package designed to support red teams and penetration testers in exploiting large language model AI solutions.

Toolkit for AI whitehats, internal red teams, llm bug bounty hunters and mlops - Adversarial testing for AI, LLMs, and Agents.

Single-user OpenRÆ backend for creating sandboxes, cyber ranges, digital twins, and other environments.

A structured, versioned archive of adversarial prompt engineering techniques against Large Language Models — for AI safety research, red-teaming, and defensive hardening.