> For the complete documentation index, see [llms.txt](https://docs.probe.splx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.probe.splx.ai/updates/product-updates/december-2024.md).

# December 2024

## Prompt Hardening

We’ve introduced a major new feature to our platform: Prompt Hardening. This feature allows you to automatically harden your system prompt with security and safety instructions, based on our red teaming knowledge and probe run results.

You can explore the use case, see how it works, and view benchmarks in our [blog](https://splx.ai/blog/system-prompt-hardening-the-backbone-of-automated-ai-security#2).

To get a full overview of the feature, check out the dedicated [documentation page](#prompt-hardening).

## Export Probe Result Table In CSV & JSON

You now have the ability to export the [Probe Result Table](/ai-red-teaming/probe/probe-run/probe-run-view.md#probe-result-table) in both CSV and JSON formats, making it easier to integrate with other tools and systems for further analysis or reporting. The export will preserve any filters you've applied to the table.

## Subscription Details

Subscription details have been added to the Organization Settings page for better tracking and usage planning. This includes information about your current credit balance, subscription plan, billing cycle, credit renewal date, the amount of credits per renewal, and the subscription expiration date.

## Improvements & Tweaks

* You now have the ability to reinvite users and copy the invitation link, for those who haven’t yet accepted invitation to the organization.
* An additional filtering options and a reset filter button have been added to the [Probe Result Table](/ai-red-teaming/probe/probe-run/probe-run-view.md#probe-result-table).
* Tooltip support has been added to the probe optimization dialogs.

<br>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.probe.splx.ai/updates/product-updates/december-2024.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.
