AI security testing that finds & fixes vulnerabilities in development
By Tanmay Verma, Founder · Last verified 07 Jun 2026
In short
Promptfoo — AI security testing that finds & fixes vulnerabilities in development. Best for Security testing for AI agents and RAG pipelines, Enterprise AI development with CI/CD security gates, Financial services needing FINRA-aligned testing. Free to use.
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Promptfoo is the most comprehensive AI security testing tool we've seen, with deep integration into developer workflows. Its massive community and enterprise adoption (156 Fortune 500) validate its efficacy. If you ship AI applications, this should be your default red teaming solution.
Last verified: June 2026
Promptfoo stands out as the leading AI security testing platform, now part of OpenAI. Its automated red teaming generates thousands of context-aware attacks tailored to your application—no manual scenario writing required. The platform covers 50+ vulnerability types, from jailbreaks to insecure tool use in agents. When to pick Promptfoo: You need to ship secure AI agents, RAG pipelines, or LLM applications. You want security built into CI/CD with remediation guidance in PRs. You require community-backed threat intelligence and enterprise trust (156 Fortune 500). When to pass: You only need basic prompt evaluation without security focus—simpler tools may suffice. Your team has minimal AI exposure and can't leverage automation. You prefer a fully managed, no-code solution. Comparison: vs. open-source evaluation frameworks like LangSmith, Promptfoo adds security-specific testing (red teaming, guardrails). Its closest alternative is Giskard, but Promptfoo's community scale and enterprise adoption give it an edge. Real-world caveats: The platform is powerful but complex—expect a learning curve for non-developers. On-premise deployment may require DevOps support. Some features (like MCP Proxy) are enterprise-only.
Skip Promptfoo if Skip Promptfoo if you only need basic prompt evaluation without red teaming or lack a dedicated security team to manage findings.
Across the latest 7 updates: 1 feature update, 1 launch, 1 community discussion and 4 news mentions.
Website now marks Promptfoo as part of OpenAI via header banner.
New terminal-based tool for prompt evaluations, related to Promptfoo ecosystem.
Demonstrates how malicious webpage can enumerate tools, read files, and send unauthorized messages via injection.
Reports exposed API surface, unsafe SQL construction, and broken object-level authorization.
Promptfoo agreed to be acquired by OpenAI; open-source project continues.
ModelAudit scans 42+ ML model formats for unsafe loading, known CVEs, and artifacts.
Strategy for testing if browsing agents follow malicious instructions or leak data.
How likely is Promptfoo to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Promptfoo is an AI security testing platform that helps organizations identify and remediate vulnerabilities in AI applications. Trusted by 156 Fortune 500 companies and backed by a community of 300,000+ developers, it provides automated red teaming, guardrails, and continuous monitoring. The platform covers 50+ vulnerability types, including prompt injections, jailbreaks, data leaks, and insecure tool use. It integrates with CI/CD pipelines, MCP frameworks, and IDEs to embed security into the development workflow. Designed for teams building AI agents, RAG pipelines, and LLM applications, Promptfoo offers context-aware attack generation tailored to your application. It simulates real users to uncover business logic flaws and provides actionable remediation steps directly in pull requests. The platform includes real-time threat intelligence from a global community, ensuring defenses stay ahead of emerging risks. Key features include automated red teaming for agents and RAGs, customizable attack flows, integration with GitHub/GitLab/Jenkins, and continuous monitoring. It supports on-premise or cloud deployment with zero vendor lock-in. Unlike general security scanners, Promptfoo focuses specifically on AI applications, understanding business logic and agent behavior to find vulnerabilities others miss. Its open-source option and enterprise-scale capabilities make it suitable for startups to Fortune 500 companies.
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Concrete scenarios for the personas Promptfoo actually fits — and what changes day-one when you adopt it.
You need to enforce AI security policy across multiple development teams with continuous monitoring.
Outcome: Set up centralized red teaming in CI/CD with automated attack generation, review findings in a shared dashboard, and track fixes via PRs — reducing vulnerability response time from days to hours.
You are building a RAG-based customer support agent and want to catch prompt injection before production.
Outcome: Run `npx promptfoo@latest redteam setup` against your agent, generate custom attacks targeting business rules, and block any merge that introduces a new vulnerability.
You need a company-wide AI security program with compliance reporting for FINRA or HIPAA.
Outcome: Deploy Promptfoo Enterprise, integrate with GitHub and GitLab, generate compliance-tailored attack profiles, and produce audit-ready security reports.
CLI-first and YAML-heavy — not beginner-friendly. LLM-as-judge costs compound fast on large test suites; budget carefully. Red-teaming features are useful but still no substitute for professional security review. Enterprise pricing is opaque. The free red-teaming is limited to 10,000 probes/month. The acquisition by OpenAI (March 2026) may raise concerns about long-term independence.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Promptfoo tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Community
$0/mo
Ideal for
Individual developers or small teams exploring AI security with local testing and up to 10k red teaming probes per month.
What this tier adds
Free entry point with full CLI, all model providers, and community support; red teaming limited to 10k probes/month.
Enterprise
Custom
Ideal for
Large teams needing centralized dashboards, SSO, unlimited red teaming, and managed cloud deployment.
What this tier adds
Adds team sharing, continuous monitoring, SSO, custom attack profiles, priority support, and optional managed cloud deployment.
Enterprise On-Premise
Custom
Ideal for
Organizations with strict data isolation requirements, such as finance or healthcare, that need complete infrastructure control.
The company stage and team size where Promptfoo's pricing actually pencils out — and where peers do it cheaper.
The Community tier (free, MIT license) is ideal for individual developers and small teams exploring AI security. Enterprise (custom pricing) fits large organizations needing centralized dashboards, SSO, and managed red teaming. Compared to alternatives like Invariant or Lakera, Promptfoo's community-driven threat intel is a differentiator, but its pricing is less transparent due to contact-sales model.
How long it actually takes to get something useful out of Promptfoo — broken out by persona, not the marketing-page minute.
Developers can install with `npm install -g promptfoo` and run a first red teaming scan in minutes. Full CI/CD integration with GitHub Actions or GitLab pipelines takes under an hour. Enterprise setup with SSO, granular permissions, and on-premise deployment may take 1-2 days with vendor support.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Langfuse vs Promptfoo
If your primary concern is automated security testing for AI applications, Promptfoo is the clear choice with its 50+ vulnerability coverage and CI/CD integration. For production LLM observability, prompt management, and open-source flexibility, Langfuse dominates with robust tracing, evaluations, and self-hosting. Buyers should choose based on whether they prioritize security scanning (Promptfoo) or engineering workflow (Langfuse).
Mlflow vs Promptfoo
Choose Promptfoo if your primary need is security testing for AI agents and RAGs, especially in regulated industries requiring continuous vulnerability detection. Choose MLflow if you need a comprehensive open-source platform for the entire ML lifecycle—from experiment tracking and prompt management to model deployment and LLM observability—without vendor lock-in.
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Built for the AI community.
Last calculated: June 2026
What this tier adds
Same as Enterprise but deployed on your own infrastructure with complete data isolation, dedicated runner, and a dedicated deployment engineer.
promptfoo release notes and updates
Browser security for the AI era: stop attacks, harden identities, secure AI
