agentic_security vs promptfoo
LLM security testing and evaluation tools compared
agentic_security and promptfoo both help teams test LLM applications and identify potential security issues. agentic_security focuses on configurable vulnerability scans using adversarial prompts, while promptfoo combines red teaming with broader prompt and model evaluation.

agentic_security: Scan LLMs and Agent Workflows for Vulnerabilities
Agentic Security is a Python vulnerability scanner and red-teaming kit for LLMs and agent workflows. It runs prompt-based scans against HTTP APIs, using supplied or built-in datasets to probe jailbreaks, fuzzing, and multimodal inputs.

promptfoo: Evaluate and Red-Team LLM Apps
Promptfoo is a TypeScript CLI and library for evaluating and red-teaming LLM-based apps. Compare prompts and models, scan for vulnerabilities, and run checks in CI/CD, with evaluations performed locally.
| agentic_security | promptfoo | |
|---|---|---|
| Language | Python | TypeScript |
| License | Apache-2.0 | MIT |
| Stars | 2k | 26.4k |
| Forks | 305 | 2.6k |
| Last analyzed | Nov 11, 2026 | Oct 24, 2026 |
Key differences
- agentic_security is a Python toolkit that sends configured prompt probes to an HTTP endpoint; promptfoo is a TypeScript CLI and library for evaluating prompts, models, and applications.
- agentic_security supports prompt mutations, multi-step attack simulations, and documented text, image, and audio request formats; promptfoo emphasizes evaluation cases, side-by-side model comparisons, and a web viewer for results.
- agentic_security documents built-in or local prompt datasets and a CI-oriented scan command; promptfoo supports local evaluations and CI/CD checks, plus pull request code scanning for LLM-related security and compliance issues.
- agentic_security is licensed under Apache-2.0; promptfoo is licensed under MIT.
- The supplied project facts list agentic_security at 2k stars and 292 forks, and promptfoo at 25.7k stars and 2.4k forks.
- Both projects are not archived; promptfoo's README states that it is now part of OpenAI while remaining open source.
Choose agentic_security if you…
- need configurable adversarial scans against an API endpoint.
- want to use prompt mutations or simulate multi-step attacks.
- need to probe text, image, or audio interfaces using documented request formats.
Choose promptfoo if you…
- want to evaluate prompts and compare model outputs across supported providers.
- need a CLI and library for repeatable evaluations as well as red-team checks.
- want to inspect evaluation results in a web viewer or add LLM-related pull request checks.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.