# AI Red Teaming Techniques — Agentic Design


## Overview

9 Categories · 108 Techniques · 432 Attack Vectors · 12 Avg per Category

## Attack Categories

1. **Prompt Injection** (8 techniques) — Manipulate AI responses through malicious prompts
2. **Jailbreaking** (7 techniques) — Bypass AI safety mechanisms and content policies
3. **Adversarial Attacks** (2 techniques) — Create inputs designed to fool AI models
4. **Vulnerability Assessment** (4 techniques) — CVE analysis and security testing
5. **Supply Chain Attacks** (4 techniques) — Model and data supply chain security
6. **Model Theft & IP Protection** (5 techniques) — Model extraction and IP protection
7. **Agentic AI Attacks** (50 techniques) — Multi-agent security and autonomous exploitation
8. **Memory & Context Attacks** (13 techniques) — Memory poisoning, RAG exploitation
9. **Multimodal Attacks** (10 techniques) — Cross-modal exploitation

## Complexity Distribution

- Low: 4 techniques
- Medium: 42 techniques
- High: 62 techniques

## Ethical Guidelines

- Only test systems you own or have explicit permission to test
- Report vulnerabilities through proper channels
- Follow coordinated vulnerability disclosure
- Respect system availability and user privacy

## Defensive Focus

- Use techniques to improve system security
- Document and implement appropriate defenses
- Share knowledge to strengthen the AI security community
- Prioritize building safer, more robust AI systems