--- description: "Detailed comparison of Promptfoo and Microsoft's PyRIT for LLM security testing. Covers attack methods, RAG testing, CI/CD integration, and selection criteria." image: /img/blog/pyrit/promptfoo-vs-pyrit.jpg keywords: [ promptfoo, PyRIT, LLM security, AI red teaming, prompt injection, RAG testing, CI/CD integration, AI security comparison, Microsoft PyRIT, LLM vulnerability testing, ] date: 2025-06-27 authors: [ian] tags: [tool-comparison, red-teaming, pyrit] --- # Promptfoo vs PyRIT: A Practical Comparison of LLM Red Teaming Tools 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. ## Quick Comparison | 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: ![pyrit](/img/blog/pyrit/pyrit.png) Promptfoo interface (Promptfoo has a [CLI](/docs/red-team/quickstart/#run-the-scan) too, but here is its web view): ![Promptfoo interface](https://www.promptfoo.dev/img/riskreport-1@2x.png) :::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. ::: ## Different Tools for Different Teams **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. ## Attack Generation: Automated vs. Customizable The tools take fundamentally different approaches to generating attacks: ### Promptfoo: Context-Aware Automation - Generates thousands of application-specific attacks automatically - Adapts prompts based on your app's purpose (e.g., "banking chatbot" gets finance-specific attacks) - No generic prompts - every attack is tailored to your use case - Uses specialized uncensored models for attack generation ### PyRIT: Flexible Framework - Provides attack converters (Base64, ASCII art, persuasion techniques) - Requires manual goal definition (e.g., tester comes up with "extract account transaction history" and similar test cases) - Requires Python scripting ## Technical Security Coverage Both tools address core LLM security risks, but with different areas of focus: ### RAG and Data Security Promptfoo's Built-in RAG Tests: - Direct and indirect prompt injections - Unauthorized data retrieval - RBAC (Role-Based Access Control) violations - Context poisoning attacks - Automatic testing via web UI PyRIT's RAG Capabilities: - Direct and indirect prompt injections - Ability to set up tests for RBAC violations and data retrieval using custom Python implementation ### Agent and Tool Misuse Promptfoo provides pre-built tests for: - Unauthorized tool execution - Privilege escalation attempts - API misuse (BOLA, BFLA) - Server-Side Request Forgery (SSRF) PyRIT includes: - Multi-turn attacks developed by Microsoft - The ability to construct custom tool abuse scenarios in Python ## Integration and Workflow ### Promptfoo: Built for DevSecOps ```bash # Setup in minutes npx promptfoo@latest redteam setup # Run in CI/CD promptfoo redteam run # View results promptfoo redteam report ``` **Features:** - Direct CI/CD integration with pass/fail - Visual reports with severity ratings - Maps findings to OWASP Top 10 and other frameworks for LLMs - Tests APIs, endpoints, or browser interfaces - Optional customization via Python or Javascript scripting ### PyRIT: Built for Flexibility PyRIT requires Python scripting. ```python # Requires custom implementation from pyrit import Orchestrator, AttackerAgent orchestrator = Orchestrator() attacker = AttackerAgent(goal="Extract user data") results = orchestrator.run(attacker, target) ``` **Features:** - Extensible through Python classes - Integrates with Python workflows - Best for one-off assessments - Requires result interpretation ## Community and Ecosystem ### Promptfoo - 200,000+ users since 2023 - Used by 44 Fortune 500 companies - Featured in OpenAI, Anthropic, AWS course materials - Regular updates for new attack techniques - Active Discord and GitHub community ### PyRIT - Created by Microsoft AI Red Team - Used in Microsoft red team engagements - Pure open-source - Relies on off-the-shelf models - Regular updates for new attack techniques :::info Promptfoo offers ISO 27001 compliance and enterprise support. PyRIT is pure open-source with community support. ::: ## Standards, Compliance, and Reporting Promptfoo maps results to OWASP, NIST RMF, MITRE ATLAS, and the EU AI Act, producing ready‑to‑share reports. ![gen ai compliance test](/img/compliance-frameworks.png) ## Enterprise Readiness 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: - On-premise deployment - Run entirely within your infrastructure - Professional support with SLAs - Team collaboration - Shared dashboards and test management - Advanced analytics - Track security metrics over time - SSO/SAML integration - Seamless authentication The enterprise version also includes a web-based dashboard where teams can: - Manage and version control test suites - Track vulnerability trends across releases - Generate executive-ready compliance reports - Set up automated alerts for failed security tests ## Making the Right Choice In general, Promptfoo is a good choice if you: - Want comprehensive coverage without heavy custom code - Need continuous security testing in CI/CD - Prefer automated scanning with reporting - Need compliance reporting (OWASP, NIST) PyRIT is a good choice if you: - Have dedicated security researchers - Prefer programmatic control - Enjoy writing Python and building tools 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.