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.