ai-security-testing

Open-source AI red teaming toolkit from Microsoft. Test generative AI systems with automated scans, adaptive multi-turn attacks, and a web UI.

Akto is the fastest growing AI Security platform for your teams to secure AI agents, MCPs, LLMs, Agent skills, Gen AI apps in your organization.

Break your AI before they do. Join Discord: https://discord.gg/n22d9s3xM

PromptMe is an educational project that showcases security vulnerabilities in large language models (LLMs) and their web integrations. It includes 10 hands-on challenges inspired by the OWASP LLM Top 10, demonstrating how these vulnerabilities can be discovered and exploited in real-world scenarios.

AI-powered Nuclei template prioritization using deep target fingerprinting and TypeSafe Jev to surface relevant security findings faster.

Runtime security for AI agents. In-process, zero dependencies, Apache 2.0.

Curated, vendor-neutral open-source tools, standards, benchmarks and labs for AI Security Engineering, organized by lifecycle (Discover, Design, Build, Break, Defend). From the AI Security Engineers Community.

Evidence-driven AI red teaming platform for LLM, RAG, and agentic applications.

AI Coding Hackathon Project - Experimenting with AI-assisted development workflows

Yang Code Review (YCR) - A lightweight GitHub Action for AI-powered, OWASP-aligned code review with your own LLM provider.

Ultra-fast AI reverse proxy with semantic cache, PII masking, budget controls, and smart failover — featuring a stunning TUI dashboard

Curated AI security and safety evaluation benchmarks well-regarded by Frontier AI labs

End-to-end Al/LLM security, safety and penetration testing framework for prompt injection, jailbreaks, RAG security, agentic attacks, red teaming, and monitoring.

OpenGnosis is a red-teaming framework for evaluating the safety boundaries of LLMs.

AI security testing — find security vulnerabilities in LLM apps, chatbots, AI agents, MCP servers, and RAG systems. Mapped to OWASP (LLM, Agentic, MCP) and NIST AI RMF.

📁 #AISecurity

Research and defense implementation for prompt injection vulnerabilities in LLM applications

Deterministic credential and egress enforcement for AI agents in multi-tenant SOC/MSSP environments.

Secure your code in seconds. VibeSafe is an AI-native DevSecOps CLI tool that detects vulnerabilities, secrets, insecure configs, and hallucinated dependencies before they ship.

LLM Security Scanner — a protective inline proxy between your AI app and the LLM provider Inspects incoming prompts for PII / secrets / prompt-injection, outgoing generations for leaks, returns an allow / block decision and a full report for SecOps.