The verdict
garak appears in 1 AI-ranked category — best position #2 for ai red teaming and llm security testing tool.
Positioning brief — for the garak team
Why the models put garak at #2 for ai red teaming and llm security testing tool
- Broad actively maintained probe library Claude · Grok · Gemini · GPT“a huge, actively maintained probe library”
- Rapid automated baseline vulnerability scanning Claude · Grok · Gemini · GPT“rapid, automated baseline vulnerability scanning”
- Free open-source and model-agnostic Claude · GPT“free, model-agnostic, and NVIDIA-backed”
- Extensible with broad model support Claude · Grok · GPT“reproducible testing, broad model support”
What the models credit Promptfoo (#1) with — and don’t credit garak
- Agent and RAG testing GPT · Grok“agent/RAG testing”
- Configurable multi-turn strategies GPT“configurable multi-turn strategies”
- CI/CD continuous regression testing GPT · Gemini · Claude · Grok“provides continuous regression testing”
What would move the rank — the models’ fix lines, unified
- Add adaptive multi-turn agentic attacks GPT · Claude · Gemini · Grok“adaptive multi-turn/agentic attacks”
- Expand app-specific RAG exploitation GPT · Claude · Grok“stateful end-to-end agent, tool, and RAG exploitation”
- Improve CI/CD integration and reporting Claude · Grok“triage/reporting is DIY”
Restructured from verbatim model output · nothing invented · every quote machine-verified
The de facto open-source LLM vulnerability scanner — a huge, actively maintained probe library covering jailbreaks, prompt injection, data/PII leakage, toxicity, encoding attacks, and package hallucination, runnable against virtually any model (HuggingFace, OpenAI, local, custom REST) with a single CLI command; free, model-agnostic, and NVIDIA-backed, it's the closest thing to "nmap for LLMs" and the fastest way for a security engineer to get real coverage of known attack classes. Ranked #1 on the assumption the typical practitioner is a security/ML engineer wanting broad, off-the-shelf coverage rather than a managed service.
Grok Broadest probe library (120+ categories covering prompt injection, jailbreaks, hallucination, data leakage, toxicity, encoding attacks) with generators/detectors for systematic scanning of models and dialog systems; battle-tested, extensible, high public evidence of use in research/security workflows; strong for model-level and basic app testing.
Gemini The standard "nmap of LLMs" that provides rapid, automated baseline vulnerability scanning across hundreds of pre-built jailbreak, toxicity, and data leakage probes.
GPT Mature open-source LLM vulnerability scanner with a large probe ecosystem, reproducible testing, broad model support, and strong value for baseline security assessments
Where garak falls short, per the models
- GPT Expand beyond model-centric probes into stateful end-to-end agent, tool, and RAG exploitation
- Claude It's a static probe scanner — strong on cataloged attack patterns but weaker on adaptive multi-turn/agentic attacks and app-specific business-logic flaws, and triage/reporting is DIY, so it's not for teams wanting a polished dashboard or continuous managed testing.
- Gemini Lacks the ability to simulate complex multi-turn agent interactions and relies heavily on static detectors that can miss subtle exploits.
- Grok Primarily stateless/single-turn focused model scanning (less native multi-turn/agentic depth without heavy customization); not ideal for full production app pipelines or teams needing CI/CD regression without extra integration.
Poll history — On this board 2 of 2 polls since Jul 12 · now #1
#5 → #1
What changed in the models’ minds
GeminiJul 12 → Jul 13 poll
- Newtoxicity probes“toxicity”
- Newstatic detectors miss subtle exploits“relies heavily on static detectors that can miss subtle exploits”
- Droppedmulti-modal inputs
Top alternatives per the models: Promptfoo · PyRIT · Mindgard · Giskard
Head-to-head — how the models call it
Watch garak
Boards re-poll weekly and the models change their minds. One short email only when garak's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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[](https://modelsagree.com/best/best-ai-red-teaming-tool?utm_source=badge&utm_medium=embed&utm_campaign=badge-garak)<a href="https://modelsagree.com/best/best-ai-red-teaming-tool?utm_source=badge&utm_medium=embed&utm_campaign=badge-garak"><img src="https://modelsagree.com/badge/garak.svg" alt="garak — ranked #2 for Best AI red teaming and LLM security testing tool by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology