zenguard-benchmarks 0.1.3

Test ZenGuard AI against different datasets and benchmarks.

ZenGuard AI Benchmarks

This repository contains benchmarks for ZenGuard AI and information on how to run them.

There are two types of benchmarks that we run against ZenGuard AI:

1. Hugging Face datasets based benchmarks
2. ZenGuard AI Generated Benchmark - Zen Bench

Here you can find both benchmark results and how to run them yourself.

Public Datasets benchmarks

We are constantly monitoring Hugging Face for new datasets that relate to GenAI security. Then we run them against ZenGuard AI to find any potential security issues with our product.

ZenGuard AI Accuracy against Hugging Face datasets

#	Dataset	Accuracy	Date Added
1	xTRam1/safe-guard-prompt-injection	96%	2024-07-01
2	deepset/prompt-injections	87%	2024-05-15
3	JasperLS/prompt-injections	87%	2024-05-15
4	aporia-ai/prompt_injection	87.68%	2024-05-15

Check for yourself. Or run your own dataset.

We have developed the ZenGuard Benchmarks PyPi package to help test and benchmark ZenGuard AI better.

Here are the instructions on how to use the package.

Benchmarking Output

Zen Bench

More information

A much more detailed documentation is available at docs.zenguard.ai.

Test the capabilities of ZenGuard AI in our ZenGuard Playground. It's available to start for free to understand how our guardrails can enhance your GenAI applications.

Check out our Client library to get started with integrating ZenGuard AI into your project.

Support

Book a Demo or just shoot us an email to [e-mail]

Topics we care about - LLM Security, LLM Guardrails, Prompt Injections, GenAI Security.

---

Developed with ❤️ by ZenGuard AI