Description
garak is an open-source tool specifically developed to scan for vulnerabilities in large language models (LLMs). It provides a comprehensive suite of plugins and thousands of prompts aimed at evaluating the security of these models. The tool is designed to elevate the security standards of LLMs, making it an essential resource for developers and researchers in the AI field.
Supported by NVIDIA and the broader community, garak is continuously updated to address emerging security challenges. Its open-source nature ensures that it remains accessible to a wide range of users, from individual developers to large organizations. The tool is user-friendly, particularly on the command line, and is backed by extensive documentation, including a user guide and reference docs.
garak is recognized as an industry standard for LLM security testing, frequently recommended in independent articles. It has been instrumental in the development of successful products by various companies. The active community on Discord and responsive GitHub issue tracking further enhance its utility, providing users with robust support and collaboration opportunities.
While garak is backed by NVIDIA, it remains a research-led project without a dedicated homepage on NVIDIA's site. The tool's content is available under the Apache 2.0 License, ensuring that it can be freely used and modified by the community.
garak: LLM Vulnerability Scanner's Core Features
Open-source vulnerability scanner
Thousands of security testing prompts
Dozens of plugins for extensibility
Command-line friendly interface
Active community support on Discord
Regular updates by NVIDIA and community
Comprehensive user guide and reference docs
Industry-standard tool for LLM security
How to use garak: LLM Vulnerability Scanner?
Install: download and set up garak
Configure: set up plugins and prompts
Use: run security assessments on LLMs
Optimize: update and customize for specific needs
garak: LLM Vulnerability Scanner's Use Cases
- LLM Security Testing
- Open-source Development
- Community Collaboration
- Research Projects
- Product Development









