Promptfoo vs Giskard
Both compete in Red-Teaming & AI Security. Promptfoo positions itself as “Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems”, while Giskardleads with “Open-source and enterprise platform for testing and red-teaming LLM agents”. The table below compares what each publishes.
Where Promptfoo pulls ahead
Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
Where Giskard pulls ahead
Publishes support for EU AI Act, NIST AI RMF, which Promptfoo does not. ML, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teaming
| Positioning | Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems | Open-source and enterprise platform for testing and red-teaming LLM agents |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | None published | EU AI Act, NIST AI RMF |
| Deployment | Open-source, SaaS, API | Open-source, SaaS, On-prem, API |
| Built for | Data Science / ML, Security | Data Science / ML, Risk, Compliance |
| Founded | 2023 | 2021 |
| Headquarters | USA | Paris, France |
| Ownership | Acquired by OpenAI (2026); previously VC-backed | Independent, venture-backed (Y Combinator alumnus) |
| Funding | ~$23.4M raised prior to acquisition; $5M seed (a16z, 2024) and $18.4M Series A led by Insight Partners (2025) | Seed funding (reported ~$2-3M+); investors include Y Combinator, Elaia, and others |
| Pricing | Open-source (MIT license), free; paid enterprise platform | Open-source library (free); Giskard Hub commercial enterprise subscription |
| Key capabilities |
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| Integrations | OpenAI, Anthropic, Google Gemini, DeepSeek, CI/CD pipelines, GitHub | Hugging Face, LangChain, MLflow, Common ML frameworks, Major LLM providers via API |
| Notable customers | OpenAI, Anthropic, Fortune 500 enterprises | None published |
| Best for | Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps | ML, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teaming |
| Limitations | Developer-oriented and requires engineering effort to configure; broader governance/compliance features live in the paid enterprise tier. | Testing/evaluation focus rather than inline runtime enforcement; smaller company and funding base; enterprise features concentrated in the paid Hub tier |
Which should you shortlist?
Choose Promptfoo if developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
Choose Giskard if mL, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teaming
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
AI Governance Tool Selection Kit
A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.
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