AIGoat - Open-source AI security playground for LLM red teaming. AI Goat provides hands-on labs covering the full OWASP LLM Top 10 with progressive defenses.

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.

Blackwall LLM Shield is an open-source AI security toolkit for JavaScript and Python that protects LLM apps from prompt injection, sensitive data leaks, unsafe tool calls, and hostile RAG content with prompt sanitisation, PII masking, output inspection, policy enforcement, and audit trails.

Blackwall LLM Shield is an open-source AI security toolkit for JavaScript and Python that protects LLM apps from prompt injection, sensitive data leaks, unsafe tool calls, and hostile RAG content with prompt sanitization, PII masking, output inspection, policy enforcement, and audit trails.

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