HiddenLayer vs Promptfoo
Both compete in Red-Teaming & AI Security. HiddenLayer positions itself as “AI detection and response plus red teaming to protect machine learning models and AI products”, while Promptfooleads with “Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems”. The table below compares what each publishes.
Where HiddenLayer pulls ahead
Enterprises and regulated organizations needing runtime protection and detection for production ML models
Where Promptfoo pulls ahead
Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
| Positioning | AI detection and response plus red teaming to protect machine learning models and AI products | Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | None published | None published |
| Deployment | SaaS, On-prem, API | Open-source, SaaS, API |
| Built for | Security, Data Science / ML, Risk | Data Science / ML, Security |
| Founded | 2022 | 2023 |
| Headquarters | Austin, Texas, USA | USA |
| Ownership | Private (VC-backed) | Acquired by OpenAI (2026); previously VC-backed |
| Funding | $56M total; $50M Series A in 2023 led by M12 and Moore Strategic Ventures, with Booz Allen, IBM and Capital One Ventures | ~$23.4M raised prior to acquisition; $5M seed (a16z, 2024) and $18.4M Series A led by Insight Partners (2025) |
| Pricing | Not published | Open-source (MIT license), free; paid enterprise platform |
| Key capabilities |
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| Integrations | Not published | OpenAI, Anthropic, Google Gemini, DeepSeek, CI/CD pipelines, GitHub |
| Notable customers | None published | OpenAI, Anthropic, Fortune 500 enterprises |
| Best for | Enterprises and regulated organizations needing runtime protection and detection for production ML models | Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps |
| Limitations | Historically ML-model centric; buyers seeking full agentic AI governance or compliance certification may need complementary tooling. | Developer-oriented and requires engineering effort to configure; broader governance/compliance features live in the paid enterprise tier. |
Which should you shortlist?
Choose HiddenLayer if enterprises and regulated organizations needing runtime protection and detection for production ML models
Choose Promptfoo if developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
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