# Using Garak for Automated LLM Vulnerability Scanning

> Master the deployment and configuration of Garak, the industry-standard open-source LLM vulnerability scanner, to systematically probe models for security flaws.

Canonical: https://codelivly.com/rooms/using-garak-for-automated-llm-vulnerability-scanning
Last updated: 2026-10-14

| | |
|---|---|
| Level | Advanced |
| Category | Cybersecurity |
| Lessons | 3 |
| Estimated time | 30 min |
| XP | 100 |

This module provides a deep dive into Garak, the premier open-source framework for automated LLM vulnerability scanning. You will learn how to install, configure, and execute Garak probes and generators to systematically test Large Language Models for prompt injection, data leakage, hallucination, and encoding bypasses. Discover how to interpret Garak's output, customize probes for your specific architecture, and integrate its findings into your broader AI security posture.

## Lessons

1. What is Garak and What It Scans For (30 min)
2. Setting Up and Running Your First Garak Scan (30 min)
3. Interpreting Garak Results (30 min)

## Related

- [Learning path: Automated AI Security Testing](https://codelivly.com/learning-paths/automated-ai-security-testing)
- [All rooms](https://codelivly.com/rooms)