# Introduction

This repository contains a comprehensive collection of prompt injection techniques used to manipulate or bypass AI system safeguards. The purpose of this collection is educational and defensive - understanding these techniques helps developers build more robust AI systems.

## Important Warning

This repository is intended for:

- Security researchers
- AI system developers
- Red team exercises
- Educational purposes

**DO NOT** use these techniques to:

- Cause harm to others
- Generate harmful, illegal, unethical, or deceptive content
- Bypass legitimate safety measures in production AI systems

## Project Overview

The Prompt Injection Techniques repository organizes information into several key sections:

1. **Classification Framework**: Our taxonomy for categorizing prompt injection techniques
2. **Categories**: Detailed explanations of each injection category
3. **Dataset**: Structured dataset of examples
4. **Detection Strategies**: Methods for identifying and preventing prompt injection

Our comprehensive approach helps researchers and developers understand the full landscape of prompt injection vulnerabilities and develop effective countermeasures.