Maintained comparison · Last reviewed 2026-07
LLM Red Team Benchmarks & Safety Testing Tools
A focused comparison of tools that can help test LLM applications and support the evidence behind a model release.
| Tool | What it does | License | Official sources | Last verified |
|---|---|---|---|---|
| Promptfoo | Red teaming and vulnerability scanning for LLM applications. | MIT (community) / proprietary enterprise features | Website · Repository | 2026-07 |
| Garak | An LLM vulnerability scanner for jailbreaks, prompt injection, and related probes. | Apache-2.0 | Website · Repository | 2026-07 |
| DeepEval | An open-source LLM evaluation framework from the Confident AI team. | Apache-2.0 | Website · Repository | 2026-07 |
| DeepTeam | An open-source framework for LLM red teaming and vulnerability testing. | Apache-2.0 | Website · Repository | 2026-07 |
| Giskard | A testing framework for ML models covering performance, bias, and security concerns. | Apache-2.0 | Website · Repository | 2026-07 |
| Guardrails AI | A framework for validating and steering LLM outputs with structured guards. | Apache-2.0 | Website · Repository | 2026-07 |
How to choose a red teaming tool
Start with the evidence gap, not the tool logo. A model release may need a vulnerability scanner, a repeatable evaluation harness, output validation, or application-level tests. Those are different jobs.
Vulnerability scanning
Useful for structured probes such as jailbreaks, prompt injection, harmful behavior, data leakage, and other known attack categories.
Evaluation frameworks
Useful when you need repeatable datasets, metrics, regression tests, and a record of how results changed between model versions.
Guardrails
Useful for validating or constraining outputs at runtime. A guardrail is not a substitute for documenting model limitations or testing the surrounding application.
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