Three open-source AI security tools compared: Garak, AI-Infra-Guard, Vigolium

This article compares three open-source AI security tools: garak, AI-Infra-Guard, and vigolium. Garak, developed by NVIDIA, focuses on scanning LLM responses for vulnerabilities like jailbreaks and data leakage. AI-Infra-Guard from Tencent Zhuque Lab targets the AI infrastructure itself, identifying exposed components and CVEs. Vigolium is a web application DAST tool that uses AI as an engine to find traditional web vulnerabilities, with an optional agentic mode for LLM-assisted planning and auditing. The author details the setup process for each tool, noting that garak had the most complex installation due to Python version conflicts, while AI-Infra-Guard and vigolium were simpler via Docker. AI

IMPACT Provides a comparative overview of specialized AI security tools, aiding operators in selecting appropriate solutions for different layers of AI systems.

RANK_REASON The article reviews and compares existing open-source tools, rather than announcing a new product or significant industry development.

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• AI-Infra-Guard
• Docker
• Hugging Face
• j3ssie
• Leon Derczynski
• NVIDIA
• Ollama
• OpenAI
• Tencent Zhuque Lab
• vigolium

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