Promptfoo
Automated red teaming to find and fix LLM vulnerabilities in development
Promptfoo is the most developer-native LLM security tool on the market. Its CI/CD integration and contextual attack generation are best-in-class for teams shipping AI applications. The Community edition is generous, but enterprise pricing is opaque and likely high. The acquisition by OpenAI (March 2026) may raise concerns about long-term independence, but the open-source project continues.
Verified 18d ago · liveness 88/100 · cite: rightaichoice.com/tools/promptfoo
- Enterprise AI teams needing automated red teaming for LLM applications
- Financial services requiring FINRA-aligned security testing
- Insurance and healthcare companies protecting policyholder data
- Developers wanting continuous AI security in CI/CD pipelines
- Small teams wanting a simple prompt testing tool without automation
- Projects not using LLMs in production (overkill for prototypes)
- Teams needing a fully no-code security solution (requires some config)
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Skip Promptfoo if you need a no-code security solution or if you're not building LLM applications in production—it's a developer-focused tool for CI/CD integration.
Going past 10k monthly red teaming probes requires an Enterprise plan with custom pricing—cost unknown until you talk to sales.
Promptfoo's Community edition ($0/mo) is exceptionally generous for solo developers and small teams, with 10k free probes. Enterprise pricing is custom and likely high, fitting large compliance-driven organizations. Compared to guardrail-only vendors like Azure AI Content Safety, Promptfoo offers deeper, automated red teaming but may be more expensive at scale.
In short
Promptfoo — Automated red teaming to find and fix LLM vulnerabilities in development. Best for Enterprise AI teams needing automated red teaming for LLM applications, Financial services requiring FINRA-aligned security testing, Insurance and healthcare companies protecting policyholder data. Free to use.
What's new in Promptfoo
Checked 17 days agoAcross the latest 5 updates: 2 feature updates and 3 news mentions.
OpenClaw at Work: Prompt Injection Risks
Demonstrated prompt injection allowing OpenClaw to enumerate tools and exfiltrate data in controlled lab.
McKinsey's Lilli Looks More Like an API Security Failure Than a Model Jailbreak
Public reporting pinpoints exposed API surface and broken object-level authorization, not model jailbreak.
Promptfoo is joining OpenAI
Promptfoo acquired by OpenAI; open-source project continues as founders join OpenAI.
Open-Sourcing ModelAudit: Security Scanner for ML Model Files
ModelAudit scans 42+ ML model formats for unsafe loading behaviors, CVEs, and suspicious artifacts.
Indirect Prompt Injection in Web-Browsing Agents
New strategy to test if AI browsing agents follow malicious instructions or leak data.
Viability Score
How likely is Promptfoo to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Automated red teaming for agents and RAGs
- Context-aware attack generation (injections, jailbreaks, PII leaks)
- Real-time guardrails against adversarial attacks
- CI/CD integration (GitHub, GitLab, Jenkins)
- Code scanning in IDE (VS Code, JetBrains)
- Model security testing and monitoring
- MCP proxy for secure model communication
- Evaluations for prompts, models, and RAG pipelines
- Remediation guidance in pull requests
- SaaS and self-hosted deployment (on-premise)
- Real-time fact-checking with web search in assertions
- Red teaming for web-browsing agents (indirect prompt injection)
- Supports 50+ vulnerability types
- Community edition with 10k probes/month
- ModelAudit: open-source scanner for ML model files (CVEs, unsafe loading)
About Promptfoo
Promptfoo is an AI security testing platform, now part of OpenAI, that automates red teaming, evaluations, and vulnerability detection for LLM applications. Designed for enterprise teams, it integrates directly into CI/CD pipelines and developer workflows, covering 50+ vulnerability types including prompt injection, jailbreaks, PII leaks, business rule violations, and insecure tool use. Key features include automated red teaming for agents and RAGs, real-time guardrails, code scanning in IDE (VS Code, JetBrains) and CI/CD (GitHub, GitLab, Jenkins), contextual attack generation, and remediation guidance in pull requests. The free Community edition includes 10k probes/month, while Enterprise and On-Premise tiers offer advanced features like continuous monitoring, SSO, and custom attack profiles. Unlike guardrail-only tools, Promptfoo embeds security testing directly into the development lifecycle, making it ideal for proactive vulnerability discovery at scale.
Behind the Verdict
Promptfoo nails a specific niche: AI security testing that feels like dev tooling, not a compliance checkbox. If your team ships LLM applications and you want vulnerabilities caught before production, this is the strongest option we've seen. The automated red teaming for agents and RAGs is particularly impressive — it generates context-aware attacks that go far beyond generic prompt injection tests. We'd reach for this when we need continuous security in CI/CD and want findings surfaced as code comments in pull requests. Where it bites: enterprise pricing is opaque (contact sales), and the recent OpenAI acquisition may give some buyers pause about long-term independence. Compared to guardrail-only tools like Guardrails AI or NVIDIA NeMo Guardrails, Promptfoo covers the full lifecycle — testing, monitoring, and remediation — not just runtime protection. For small teams or prototypes, the Community edition with 10k probes/month is generous but may feel constrained if you run heavy red teaming. In practice, the real-world value is in the depth of attack coverage and developer workflow integration; it's not a toy. If you're already using a specialized vendor like CalypsoAI or Robust Intelligence, Prompfoo competes on developer experience and CI/CD native approach. Bottom line: best for proactive security teams who code, not for those wanting a no-policy, no-code solution.
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Real-world workflow fit
Concrete scenarios for the personas Promptfoo actually fits — and what changes day-one when you adopt it.
You want to test a new RAG pipeline for prompt injection vulnerabilities before merging to production.
Outcome: Run `npx promptfoo@latest redteam setup`, generate 500 context-aware attacks targeting your RAG, fix issues via PR remediation, and merge with confidence—within an hour.
You need FINRA-aligned security testing across 10+ LLM applications and continuous monitoring.
Outcome: Deploy Promptfoo Enterprise, configure custom attack profiles for financial use cases, set up CI/CD scanning, and receive a centralized compliance dashboard with real-time alerts—setup takes 2-3 days.
Your team is shipping an AI agent that browses the web, and you want to test for indirect prompt injection.
Outcome: Use Promptfoo's new red teaming strategy for web-browsing agents (Feb 2026), run automated tests, and get remediation steps in the PR—completed in a few hours.
Use Cases
- Block a prompt change in CI if semantic similarity drops below threshold on 50 test cases.
- Red-team an agent with 30 canonical jailbreak patterns before launching a public feature.
- Compare GPT-4o vs Claude Sonnet on your actual test suite and pick the winner by measurable metrics.
- Prevent regressions in a prompt by tying every merge to a passing Promptfoo run.
- Automated FINRA-aligned security testing for financial services AI.
- Ensure fair housing compliance in real estate AI agents.
- Scan for PII leaks and business rule violations in production AI applications.
Models Under the Hood
as of 2026-07-14
Limitations
- 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.
as of 2026-07-01
12-month cost
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.
Plans compared
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 and small teams needing free, self-hosted AI security testing with 10k probes/month.
What this tier adds
Free entry point with all core evaluation features, but limited to 10k red teaming probes per month and community support.
Enterprise
Custom
Ideal for
Larger teams and organizations needing continuous monitoring, SSO, custom attack profiles, and managed cloud deployment.
What this tier adds
Adds team collaboration, centralized dashboard, custom red teaming limits, SSO, and priority support—custom pricing.
Enterprise On-Premise
Custom
Ideal for
Organizations requiring full data isolation and deployment on their own infrastructure.
What this tier adds
Includes all Enterprise features plus on-premise deployment, complete data isolation, dedicated runner, and assigned deployment engineer.
Where the pricing makes sense
The company stage and team size where Promptfoo's pricing actually pencils out — and where peers do it cheaper.
Promptfoo's Community edition ($0/mo) is exceptionally generous for solo developers and small teams, with 10k free probes. Enterprise pricing is custom and likely high, fitting large compliance-driven organizations. Compared to guardrail-only vendors like Azure AI Content Safety, Promptfoo offers deeper, automated red teaming but may be more expensive at scale.
Setup time & first value
How long it actually takes to get something useful out of Promptfoo — broken out by persona, not the marketing-page minute.
Solo developers: get first red teaming run in under 15 minutes using `npx promptfoo`. Enterprise teams: 2-3 days for full CI/CD integration, custom attack profiles, and centralized dashboard. On-premise: additional 1-2 weeks for deployment and data isolation.
Switching to or from Promptfoo
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From homegrown red teaming scripts: Replace ad-hoc scripts with Promptfoo's YAML-configured, reusable test suites and CI/CD integration.
- ↗To Azure AI Content Safety: Export test results and manually reconfigure guardrails; no direct migration path.
Integrations
Resources & Guides
Official links
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