Promptfoo
Automated testing that finds & fixes AI risk in development. Red teaming, evaluations, and guardrails for LLMs and agents. Trusted by 156 Fortune 500.
Editor's Verdict
Key Takeaways
- Automated Red Teaming
- CI/CD Integration
- Context-Aware Attacks
- Real-Time Threat Intelligence
In-Depth Review: What is Promptfoo?
Promptfoo is a comprehensive AI security platform that integrates into your development workflow. It offers automated red teaming, evaluations, and code scanning to detect vulnerabilities like prompt injections, jailbreaks, data leaks, and insecure tool use. With real-time threat intelligence from a community of 300k+ users, it provides continuous testing and remediation guidance directly in PRs. Used by top companies like OpenAI and Anthropic, it scales from one to hundreds of applications.
Core Features
Automated Red Teaming
Simulate real users to uncover application-specific vulnerabilities like prompt injections, jailbreaks, data leaks, and business rule violations.
CI/CD Integration
Integrate AI security testing into development workflows with GitHub, GitLab, Jenkins, and more for continuous monitoring.
Context-Aware Attacks
Generate thousands of attacks tailored to your application, RAG, agents, and integrations, covering 50+ vulnerability types.
Real-Time Threat Intelligence
Leverage insights from a 300k+ user community to get early warnings and automatically deploy new attack vectors.
Actionable Remediation
Receive guided remediation steps directly in pull requests and developer workflows to close the loop on security findings.
Scalable Automation
From 1 to 100+ applications, continuous testing in CI/CD without manual scenario writing, proven at Fortune 500 scale.
Pricing
Community
- All LLM evaluation features
- All model providers and integrations
- Red teaming (10k probes/month)
- Custom integration with your own app
- Run locally or self-host on your own infrastructure
- Vulnerability scanning
- Community support
Enterprise
- All Community features
- Custom red teaming limits
- Team sharing & collaboration
- Continuous monitoring
- Centralized security/compliance dashboard
- Customizable attack profiles and target settings
- SSO and granular permission profiles
- Promptfoo API access
- Managed cloud deployment
- Professional services support
- Priority support & SLA guarantees
Enterprise On-Premise
- All Enterprise features
- Deployment on your own infrastructure
- Complete data isolation
- Dedicated runner
- Assigned deployment engineer
Pros and Cons
Pros
- Comprehensive Automated TestingCovers 50+ vulnerability types including prompt injections, jailbreaks, and data leaks, with context-aware attacks generated automatically.
- Community-Driven IntelligenceReal-time threat intel from 300k+ users and contributors from top AI labs, ensuring up-to-date attack vectors.
- Developer-Friendly IntegrationSeamlessly integrates into CI/CD pipelines and provides remediation guidance in PRs, fitting existing workflows.
- Scalable for EnterprisesProven at Fortune 500 scale, supporting 100+ applications with continuous monitoring and centralized dashboards.
- Flexible Deployment OptionsAvailable as cloud, on-premise, or self-hosted, with complete data isolation for sensitive environments.
Cons
- Limited Free Tier ProbesCommunity version limits red teaming to 10,000 probes per month, which may not suffice for large-scale testing.
- Enterprise Pricing Not TransparentEnterprise and On-Premise plans require contacting sales for custom quotes, making it hard to compare costs upfront.
- Complex Setup for On-PremiseOn-premise deployment requires a dedicated runner and assigned engineer, adding operational overhead.
- Dependency on Community for IntelligenceThreat intelligence relies on community contributions; may have delays in covering niche or emerging attack patterns.
Use Cases & Recommended Professions
Chief Information Security Officer (CISO)→ View Toolkit
Needs to manage AI security strategy and risk across the organization with enterprise-grade dashboards and compliance reporting.
Security Director→ View Toolkit
Requires depth and automation in AI security testing to scale across multiple applications and integrate with existing tools.
Software Developer→ View Toolkit
Benefits from automated security testing in CI/CD pipelines and actionable remediation steps in PRs to ship secure AI features faster.
AI/ML Engineer→ View Toolkit
Needs to evaluate and red team LLMs, RAGs, and agents to prevent vulnerabilities like prompt injections and data leaks.
DevOps Engineer→ View Toolkit
Integrates security testing into deployment pipelines, ensuring continuous monitoring and automated remediation for AI applications.
Compliance Officer→ View Toolkit
Uses centralized dashboards and vulnerability scanning to verify compliance with industry frameworks and standards for AI security.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of Promptfoo were synthesized using AI and fact-checked by our curation team to ensure accuracy.
