🐢 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

Autonomous AI pentesting engine, continuous offensive security across web, cloud, AD & Kubernetes. Agentic reasoning + real exploit execution deliver proof-based vulnerabilities. Privacy gateway: the LLM never sees your real IPs, hosts, creds or paths (deterministic placeholders rehydrated locally), nothing leaves your perimeter.

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.

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

AI Security Platform: Defense (61 Rust engines + Micro-Model Swarm) + Offense (39K+ payloads)

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

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

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.

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

SOC-in-a-Box for AI purple teaming

🛡️ Safe AI Agents through Action Classifier

AI/LLM Red Team Suite — Automated security testing toolkit for probing language models against prompt injection, jailbreaks, data extraction, and guardrail bypasses