AI Goat - Learn AI security by attacking and defending a real AI-powered e-commerce application. Built for Red Teamers, security researchers, AI enthusiasts, and students to learn about adversarial attacks on AI/LLM systems. It is strictly for educational use, and the authors disclaim responsibility for any misuse.

Open-source AI security firewall. 81 engines for PII detection, prompt injection defense, MCP security, and egress classification. Local-first. Zero cloud dependency.

nod is a platform-agnostic, rule-based linter that ensures AI/LLM specifications contain critical security and compliance elements before any agentic or automated development begins.

🛡️ Gemini API destekli, kaynak kodlarındaki SQLi ve XSS zafiyetlerini tespit eden yapay zeka tabanlı analiz motoru ve LLM tehdit alanı güvenlik araştırması.

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An interactive web application that generates comprehensive security playbooks for mitigating the OWASP Top 10 vulnerabilities specific to Large Language Model (LLM) applications. The application consists of a Flask backend that leverages the OpenAI API to generate detailed playbooks, paired with a simple HTML/JavaScript frontend.

An advanced, interactive educational platform focused on AI system vulnerabilities, attack vectors, and offensive security methodologies. [Prompt Injection, Model Evasion, Data Poisoning, Agent Hijacking]

pen-source Splunk SIEM detection rules and SOAR playbooks mapped to the EU AI Act for monitoring AI security, data poisoning, and human oversight compliance.

AI Red Teaming Toolkit - 200+ attack vectors, pytest-native, OWASP LLM Top 10 mapped