> ## Documentation Index
> Fetch the complete documentation index at: https://docs.enkryptai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# LLM Safety Leaderboard

> Comprehensive safety rankings and risk assessments for large language models

## Access the Full Leaderboard

**[View the complete LLM Safety Leaderboard →](https://www.enkryptai.com/llm-safety-leaderboard)**

The leaderboard is regularly updated with new models and provides detailed breakdowns of safety metrics to help you make informed decisions about model selection for your applications.

## Comprehensive Model Safety Rankings

The Enkrypt AI Safety Leaderboard provides comprehensive safety rankings and risk assessments for large language models, evaluating models across multiple critical dimensions:

### Risk Assessment Categories

* **Jailbreak Susceptibility** - Measures how easily models can be manipulated to bypass safety constraints
* **Bias Potential** - Evaluates inherent biases in model responses
* **Malware Presence** - Assesses potential for generating malicious content
* **Toxicity Assessment** - Measures likelihood of producing toxic or harmful outputs

### How to Read the Scores

A Jailbreak score of 18% indicates that 18% of the jailbreak tests successfully breached the LLM. Lower scores indicate better safety performance.

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*The risk score is an average of risk across all four categories. Lower the score, lower the risk.*