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Shiva108/ai-llm-red-team-handbook
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The AI/LLM Red Team Field Manual and Consultant's Handbook. A comprehensive guide covering adversarial testing methodologies for AI and large language model systems. Includes prompt injection techniques, jailbreak strategies, model security assessment frameworks, and best practices for evaluating LLM safety. Essential reference for AI security consultants, red teamers, and researchers working on AI safety.
View on GitHub
git clone https://github.com/Shiva108/ai-llm-red-team-handbook.git
Quick Start Example
markdown
# AI/LLM Red Team Handbook
## Topics Covered
- Prompt Injection Attacks
- Jailbreak Techniques
- Model Security Assessment
- AI Safety Evaluation
- Adversarial Testing Frameworks
## Usage
git clone https://github.com/Shiva108/ai-llm-red-team-handbook
# Read the handbook and apply methodologies