RAG Security Training Simulator is a free, interactive web app that teaches you how to defend AI systems — especially those using Retrieval-Augmented Generation (RAG) — from prompt injection attacks.
Prompt injection is one of the most dangerous and under-discussed vulnerabilities in modern AI systems. It allows attackers to manipulate LLM (Large Language Model) outputs by embedding hidden instructions in user prompts or retrieved content.
If your organization uses tools like ChatGPT, Copilot, or custom RAG implementations, understanding these threats is critical.
RAG Security Training Simulator walks you through the basics of AI prompt injection risks and lets you:
Whether you're a developer, AI engineer, security lead, or tech executive, RAG Security Training Simulator helps you gain practical knowledge on LLM safety and prompt injection prevention.
Use RAG Security Training Simulator in your organization to:
RAG Security Training Simulator is a lightweight training simulator designed to help you test how Retrieval-Augmented Generation (RAG) systems respond to different prompt types—especially those that may lead to oversharing or security risks.
You can log in using LinkedIn. We use it only to capture your name and email for session tracking. No additional setup is required.
We store minimal data: just your name, email, and confirmation that you accepted the Terms of Service. Prompts may be logged anonymously for performance analysis but are not linked back to you.
Yes. To run simulations, you’ll need to input a HuggingFace API key. Instructions are provided in the app to help you generate one in a few clicks.
RAG Security Training Simulator is developed by Knostic, the cybersecurity company behind enterprise-grade tools that prevent LLM oversharing and data leakage.
Want to protect your internal Copilot or ChatGPT setup from leaking secrets?
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