How Promptfoo Performs AI Red Teaming and Security Testing

Updated

Promptfoo is an AI security platform that red teams your application rather than just the underlying model. It generates thousands of context-aware attacks tailored to your specific AI app, agents, and workflows, drawing on real-time threat intelligence from a 300k+ user community, and then closes the loop with remediation guidance in your pull requests. This approach fits teams that build AI features into products and want security testing embedded in their existing development workflow, from CI/CD pipelines to MCP and agent frameworks, whether on-premise or in the cloud.

What "Application-Focused" Testing Means

Most AI security tools test the model in isolation. Promptfoo's stated approach is application-focused: it connects to your AI apps, agents, and workflows as they actually run, then attacks them in context. That distinction matters because a model that behaves safely in a generic benchmark can still leak data or be manipulated through your specific prompt structure, tool access, or retrieval setup.

The workflow follows three stages described on the site:

  1. Connect — Integrate with your AI apps, agents, and workflows across CI/CD pipelines (GitHub, GitLab, Jenkins, and more), MCP and agent frameworks, and on-premise or cloud deployments.
  2. Attack — Create thousands of context-aware attacks tailored to your application.
  3. Fix — Get remediation guidance directly in pull requests and developer workflows.

How the Attack Generation Works

Rather than relying only on a fixed library of human-curated test cases, Promptfoo emphasizes three capabilities:

  • Context-aware attacks — Thousands of attacks generated to fit your specific application, not a generic model.
  • Real-time threat intel — Drawn from a community of 300,000+ open source users, with contributors from companies like OpenAI, Google, Microsoft, and Amazon.
  • Deep automation — Scales beyond what human-curated tests can cover.
  • Customizable attack flows — Attack flows can be tailored to your business requirements.

The practical effect: as new attack patterns emerge in the community, they can feed into your testing without you manually writing every case.

Closing the Loop: Remediation in Developer Workflows

Finding vulnerabilities is only half the job. Promptfoo surfaces security findings in pull requests, provides actionable remediation steps, tracks fixes across teams, and supports continuous monitoring. This means a developer sees the issue where they're already working, rather than in a separate security dashboard.

Who It's Built For

The platform is positioned for different roles with different needs:

Role What they get
CISOs Strategy and risk visibility
Security Directors Depth and automation at enterprise scale
Developers Speed and enablement in existing workflows

The site notes adoption by 156 of the Fortune 500, with leading healthcare, telecommunications, retail, and enterprise software companies using it for AI security.

Getting Started

If you want to evaluate whether Promptfoo fits your workflow, the practical first step is to connect it to one AI application or agent you already run, then review the attacks it generates against that specific context. Because it integrates with CI/CD pipelines and agent frameworks, you can test it in a single pipeline before rolling it out more broadly. Pricing details are available on the site's pricing page; check there for current terms rather than assuming a free tier.