# Safety

This Quick Start Notebook introduces Fiddler Guardrails' Safety Detection capabilities, an essential component of our enterprise solution for protecting LLM applications. Learn how to implement the Safety Model, which identifies harmful, sensitive, or jailbreaking content in both inputs and outputs of your generative AI systems.

Inside you'll find:

* Step-by-step implementation instructions
* Code examples for safety evaluation
* Practical demonstration of harmful content detection
* Sample inputs and outputs with risk score interpretation

Before running the notebook, get your API key from the sign-up page below. See the documentation and FAQs for more help with getting started.

[Get Started with Your Free Guardrails →](https://www.fiddler.ai/free-guardrails)

Click [this link to get started using Google Colab →](https://colab.research.google.com/github/fiddler-labs/fiddler-examples/blob/main/quickstart/latest/Fiddler_Quickstart_Guardrails_Trial_Safety.ipynb)

<div align="left"><figure><img src="https://colab.research.google.com/img/colab_favicon_256px.png" alt="Google Colab" width="188"><figcaption></figcaption></figure></div>

Or download the notebook directly from [GitHub](https://github.com/fiddler-labs/fiddler-examples/blob/main/quickstart/latest/Fiddler_Quickstart_Guardrails_Trial_Safety.ipynb).


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.fiddler.ai/developers/tutorials/guardrails/guardrails-safety.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.