{"slug":"garak","name":"garak","domain":"garak.ai","verdict":"As of 2026-07-13, ChatGPT, Claude, Gemini, Grok collectively rank garak #2 of 8 for ai red teaming and llm security testing tool. Source: https://modelsagree.com/product/garak (modelsagree.com, CC BY 4.0).","best_rank":2,"categories":1,"brief":{"category":"best-ai-red-teaming-tool","title":"Best AI red teaming and LLM security testing tool","rank":2,"of":8,"top":"Promptfoo","day":"2026-07-17","why":[{"t":"Broad actively maintained probe library","m":["Claude","Grok","Gemini","ChatGPT"],"q":"a huge, actively maintained probe library"},{"t":"Rapid automated baseline vulnerability scanning","m":["Claude","Grok","Gemini","ChatGPT"],"q":"rapid, automated baseline vulnerability scanning"},{"t":"Free open-source and model-agnostic","m":["Claude","ChatGPT"],"q":"free, model-agnostic, and NVIDIA-backed"},{"t":"Extensible with broad model support","m":["Claude","Grok","ChatGPT"],"q":"reproducible testing, broad model support"}],"gap":[{"t":"Agent and RAG testing","m":["ChatGPT","Grok"],"q":"agent/RAG testing"},{"t":"Configurable multi-turn strategies","m":["ChatGPT"],"q":"configurable multi-turn strategies"},{"t":"CI/CD continuous regression testing","m":["ChatGPT","Gemini","Claude","Grok"],"q":"provides continuous regression testing"}],"fix":[{"t":"Add adaptive multi-turn agentic attacks","m":["ChatGPT","Claude","Gemini","Grok"],"q":"adaptive multi-turn/agentic attacks"},{"t":"Expand app-specific RAG exploitation","m":["ChatGPT","Claude","Grok"],"q":"stateful end-to-end agent, tool, and RAG exploitation"},{"t":"Improve CI/CD integration and reporting","m":["Claude","Grok"],"q":"triage/reporting is DIY"}]},"entries":[{"slug":"best-ai-red-teaming-tool","title":"Best AI red teaming and LLM security testing tool","rank":2,"of":8,"score":15,"appearances":4,"modelRanks":{"ChatGPT":5,"Claude":1,"Gemini":2,"Grok":1},"reason":"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.","reasons":[{"model":"Claude","reason":"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."},{"model":"Grok","reason":"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."},{"model":"Gemini","reason":"The standard \"nmap of LLMs\" that provides rapid, automated baseline vulnerability scanning across hundreds of pre-built jailbreak, toxicity, and data leakage probes."},{"model":"ChatGPT","reason":"Mature open-source LLM vulnerability scanner with a large probe ecosystem, reproducible testing, broad model support, and strong value for baseline security assessments"}],"fixes":[{"model":"ChatGPT","fix":"Expand beyond model-centric probes into stateful end-to-end agent, tool, and RAG exploitation"},{"model":"Claude","fix":"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."},{"model":"Gemini","fix":"Lacks the ability to simulate complex multi-turn agent interactions and relies heavily on static detectors that can miss subtle exploits."},{"model":"Grok","fix":"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."}],"updated":"2026-07-13","rank_history":{"days":["2026-07-12","2026-07-13"],"ranks":[5,1]},"reasoning_shift":[{"model":"Gemini","from":"2026-07-12","to":"2026-07-13","added":[{"t":"toxicity probes","q":"toxicity"},{"t":"static detectors miss subtle exploits","q":"relies heavily on static detectors that can miss subtle exploits"}],"dropped":[{"t":"multi-modal inputs","q":"multi-modal inputs"}]}],"api":"https://modelsagree.com/api/v1/best/best-ai-red-teaming-tool.json"}],"page":"https://modelsagree.com/product/garak","check":"https://modelsagree.com/check?q=garak","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}