Promptfoo

Categories: Cybersecurity, Coding & Developer Tools, Automation / Agents | Pricing: Freemium | Official Website ↗

Promptfoo provides automated testing and security solutions to identify and fix vulnerabilities in AI applications and LLM-powered systems.

Promptfoo is an AI security platform designed to help developers and enterprises build secure AI applications. It offers automated testing that finds and fixes AI risks throughout the development lifecycle, from integration to remediation. The platform simulates real users to uncover application-specific vulnerabilities like prompt injections, jailbreaks, data leaks, and insecure tool use in agents. Key offerings include Red Teaming for simulating attacks, Guardrails for real-time protection, Model Security for comprehensive testing, MCP Proxy for secure communications, and Code Scanning for finding LLM vulnerabilities in IDEs and CI/CD. Promptfoo integrates with existing CI/CD pipelines and agent frameworks, providing remediation guidance directly in developer workflows and continuous monitoring. It is built on a large AI security community, offering real-time threat intelligence.

Key Features

Automated Red Teaming for agents & RAGs
Guardrails for real-time protection
Model Security testing and monitoring
MCP Proxy for secure communications
Code Scanning for LLM vulnerabilities
Evaluations for prompts, models, and RAG pipelines
Custom attack generation (prompt injections, jailbreaks, data leaks)
Integration with CI/CD pipelines and agent frameworks

Pros

Proactively identifies and fixes AI application vulnerabilities
Integrates into existing development workflows and CI/CD pipelines
Offers deep automation for scalable testing beyond manual efforts
Provides real-time threat intelligence from a large security community
Supports various industries with tailored security testing solutions
Offers an open-source version for individual developers and small teams

Cons

Enterprise pricing is custom and not transparently listed
Advanced features like continuous monitoring and centralized dashboards are only available in paid tiers
Red teaming in the free version has usage limits (10k probes/month)
Requires integration and setup within existing development environments
Focuses heavily on security, which might be overkill for very simple AI applications

Use Cases

Securing AI agents and RAG systems
Preventing prompt injections and jailbreaks
Ensuring data privacy and preventing PII leaks in AI apps
Verifying compliance with industry security frameworks
Continuously monitoring AI application security in production
Testing and evaluating LLM prompts and models

Best For

AI developers
Security teams
CISOs
Organizations building LLM-powered applications
Enterprises requiring robust AI security and compliance

Integrations: GitHub, GitLab, Jenkins, MCP (Model Context Protocol)

Platforms: Web, macOS, Windows, Linux

Watch demo on YouTube ↗

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