Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
PyRIT
Microsoft's open-source Python Risk Identification Tool for automated red-teaming of generative AI systems. Security engineers use it to probe LLMs for harmful outputs, unsafe behaviors, and policy violations through single and multi-turn attack simulations. Supports Azure OpenAI, Hugging Face, and other model providers. Free, MIT licensed.
Viable option — review the tradeoffs
You need to automate red teaming of your generative AI systems to uncover jailbreaks, harmful outputs, and policy violations at scale without endless manual prompt crafting.
Scales to thousands of prompts efficiently with solid automation for multimodal models, but requires custom scorers for novel harms; battle-tested by Microsoft on 100+ operations with reliable tracking via SQLite.
You want repeatable benchmarks to track safety regressions across LLM versions and mitigations like anti-prompt-injection.
Excellent for iterative improvement with empirical data, handles non-English probes; minor quirks in multi-turn complexity but extensible for real-world ops.
PyRIT excels in multi-turn attacks and multimodal support while Garak focuses on structured LLM probing.
Pick PyRIT for automated multi-turn strategies, non-English attacks, and integration with Azure/Hugging Face across modalities.
Choose Garak for simpler, holistic single-model vulnerability scans without needing broad platform support.
Custom Scorers Often Needed
Built-in scoring covers basics but requires builder-defined logic or LLMs for novel harms like specific biases or privacy risks.
Trust Breakdown
What It Actually Does
PyRIT lets security teams automatically test AI models for harmful behaviors and safety gaps by simulating attacks and monitoring responses across different providers like Azure OpenAI and Hugging Face.
Microsoft's open-source Python Risk Identification Tool for automated red-teaming of generative AI systems. Security engineers use it to probe LLMs for harmful outputs, unsafe behaviors, and policy violations through single and multi-turn attack simulations. Supports Azure OpenAI, Hugging Face, and other model providers.
Free, MIT licensed.
Fit Assessment
Best for
- ✓ai-security-testing
- ✓red-teaming
- ✓prompt-engineering
- ✓llm-evaluation
Score Breakdown
Protocol Support
Capabilities
Governance
- secret-scanning
- dependency-scanning