Protect AI vs Promptfoo

Both compete in Red-Teaming & AI Security. Protect AI positions itself as “End-to-end security for the AI and machine-learning supply chain”, 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 Protect AI pulls ahead

Publishes support for NIST AI RMF, SOC 2, which Promptfoo does not. Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle

Where Promptfoo pulls ahead

Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps

	Protect AI	Promptfoo
Positioning	End-to-end security for the AI and machine-learning supply chain	Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems
Category	Red-Teaming & AI Security	Red-Teaming & AI Security
Frameworks	NIST AI RMF, SOC 2	None published
Deployment	SaaS, On-prem, Open-source, API	Open-source, SaaS, API
Built for	Security, Data Science / ML, Risk	Data Science / ML, Security
Founded	2022	2023
Headquarters	Seattle, Washington, USA	USA
Ownership	Acquired by Palo Alto Networks (announced April 2025, ~$700M); part of Prisma AIRS	Acquired by OpenAI (2026); previously VC-backed
Funding	$60M Series B (2024) at ~$400M valuation prior to acquisition	~$23.4M raised prior to acquisition; $5M seed (a16z, 2024) and $18.4M Series A led by Insight Partners (2025)
Pricing	Enterprise licensing; open-source tools (ModelScan, LLM Guard) free	Open-source (MIT license), free; paid enterprise platform
Key capabilities	Guardian model-scanning security gateway ModelScan open-source model scanning LLM Guard runtime input/output scanners Recon automated red teaming (450+ attacks) huntr AI/ML vulnerability database and bug bounty MLSecOps supply-chain visibility	LLM evaluation and benchmarking Automated red teaming and vulnerability scanning Declarative test configs Prompt and model comparison CI/CD integration Local/self-hosted execution
Integrations	Amazon Bedrock, Hugging Face, MLflow / CI-CD pipelines, Major LLM providers, Palo Alto Prisma AIRS	OpenAI, Anthropic, Google Gemini, DeepSeek, CI/CD pipelines, GitHub
Notable customers	None published	OpenAI, Anthropic, Fortune 500 enterprises
Best for	Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle	Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
Limitations	Now integrated into Palo Alto Networks, so standalone products may converge into Prisma AIRS; breadth means some components (runtime guardrails vs. model scanning) are stronger than others	Developer-oriented and requires engineering effort to configure; broader governance/compliance features live in the paid enterprise tier.

Which should you shortlist?

Choose Protect AI if security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle

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.

Full Protect AI profile →Full Promptfoo profile →

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