site/blog/promptfoo-vs-pyrit.md
As enterprises deploy AI applications at scale, red teaming has become essential for identifying vulnerabilities before they reach production. Two prominent open-source tools have emerged in this space: Promptfoo and Microsoft's PyRIT.
| Feature | Promptfoo | PyRIT |
|---|---|---|
| Setup Time | Minutes (Web/CLI wizard) | Hours (Python scripting) |
| Attack Generation | Automatic, context-aware | Manual configuration |
| RAG Testing | Pre-built tests | Manual configuration |
| Agent Security | RBAC, tool misuse tests included | Manual configuration |
| CI/CD Integration | Built-in | Requires custom code |
| Reporting | Visual dashboards, OWASP mapping | Raw outputs |
| Learning Curve | Low | High |
| Best For | Continuous security testing | Custom deep-dives |
PyRIT interface:
Promptfoo interface (Promptfoo has a CLI too, but here is its web view):
:::info Key Takeaway: Promptfoo is like a security scanner for AI apps - automated and developer-friendly. PyRIT is like a security framework - it provides building blocks but requires expertise to implement. :::
Promptfoo is a red teaming toolkit designed for engineering teams building AI applications. It dynamically generates application-specific attacks using specialized models, testing for vulnerabilities like prompt injections, data leaks, and unauthorized tool usage. The tool integrates directly into CI/CD pipelines and provides actionable security reports.
PyRIT (Python Risk Identification Toolkit) is a Python framework from Microsoft's AI Red Team that provides building blocks for creating custom red teaming scenarios. It enables security researchers to orchestrate AI-vs-AI attacks, where an attacker agent attempts to exploit a target system while a judge evaluates the results.
The tools take fundamentally different approaches to generating attacks:
Both tools address core LLM security risks, but with different areas of focus:
Promptfoo's Built-in RAG Tests:
PyRIT's RAG Capabilities:
Promptfoo provides pre-built tests for:
PyRIT includes:
# Setup in minutes
npx promptfoo@latest redteam setup
# Run in CI/CD
promptfoo redteam run
# View results
promptfoo redteam report
Features:
PyRIT requires Python scripting.
# Requires custom implementation
from pyrit import Orchestrator, AttackerAgent
orchestrator = Orchestrator()
attacker = AttackerAgent(goal="Extract user data")
results = orchestrator.run(attacker, target)
Features:
:::info Promptfoo offers ISO 27001 compliance and enterprise support. PyRIT is pure open-source with community support. :::
Promptfoo maps results to OWASP, NIST RMF, MITRE ATLAS, and the EU AI Act, producing ready‑to‑share reports.
For organizations evaluating these tools at scale, enterprise features and support can be a key decision point. While both PyRIT and Promptfoo are open-source, Promptfoo has an Enterprise edition.
Available in Promptfoo Enterprise:
The enterprise version also includes a web-based dashboard where teams can:
In general, Promptfoo is a good choice if you:
PyRIT is a good choice if you:
The tools are ultimately quite different. Promptfoo's adversarial models remove the need to manually come up with hundreds of test cases yourself. PyRIT provides a lot of scripting power, whereas Promptfoo is extensible but easier to integrate up-front.