Prompt

Can you recommend a model evaluation tool for prompt injection testing in multi-turn conversations?

Artificial Intelligence / AI Safety & Alignment1 observationLast seen Jul 19, 2026

Latest observation

Jul 19, 2026OpenAI APIWeb search: off

Yes — a strong choice is PyRIT (Python Risk Identification Toolkit) from Microsoft.

Why PyRIT fits prompt injection testing

  • Built for red teaming LLMs, including prompt injection and jailbreak-style testing.
  • Supports multi-turn conversations, so you can test how a model handles escalating or iterative attacks.
  • Lets you automate attack generation, scoring, and result collection.
  • Works well for testing both chat models and agentic workflows.

Other good options

  • Garak — good for broad LLM vulnerability probing, including prompt injection and policy bypass tests.
  • OpenAI Evals — useful if you want to build custom evals, but it’s more of a framework than a turnkey red-teaming tool.
  • promptfoo — handy for regression testing prompts and multi-turn scenarios, though less specialized than PyRIT for security red-teaming.

Quick recommendation

  • If your focus is security testing / prompt injection / multi-turn adversarial conversations: PyRIT
  • If you want lightweight regression tests across prompts: promptfoo
  • If you want general vulnerability probing: Garak

If you want, I can also suggest a tooling stack for this use case, or help you set up a sample multi-turn prompt injection test.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.