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RAG Security Training Simulator: Learn Prompt Injection Defense for AI Security

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.

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Video-icon How it works? Watch our 1 minute video

Created by the AI security experts at Knostic

This free hands-on training platform helps you understand how defensive prompt engineering works in real-world scenarios.

What Is Prompt Injection and Why Does It Matter?

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.

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What You’ll Learn with RAG Security Training Simulator

RAG Security Training Simulator walks you through the basics of AI prompt injection risks and lets you:

  • Explore how different security guardrails work
  • Test your own prompts against live model defenses
  • See how various RAG security strategies hold up
  • Learn real techniques in defensive prompt engineering

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.

Built for Security Training

Use RAG Security Training Simulator in your organization to:

  • Run LLM red team simulations
  • Teach defensive AI practices in workshops
  • Validate how secure your prompt design and access controls really are
  • Help teams understand the importance of RAG prompt validation.
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Frequently Asked Questions

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.

Hosted by Knostic — Leaders in LLM Security

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?

Start Your Training:

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Log in securely via LinkedIn
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Enter prompt injection challenges
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Learn how to build safer, more resilient AI systems
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