> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-xdr-5.x/detect-investigate-and-respond-to-threats/asset-management/all-assets.md).

# All assets

The **All Assets** page provides a centralized repository containing information about all assets within your environment, including enterprise, multi-cloud, code, and external surfaces. Dedicated asset modules allow multi-method asset coverage, such as agent, agentless, logs, from various sources. Having full visibility of assets allows for timely incident response, effective threat hunting, and attack surface reduction.

![AssetInventory2\_\_1\_.gif](/files/3jiRuBJUSoSkanpWMVdu)

**Inventory table**

When navigating to the **All Assets** page, the primary inventory table provides a high-level view of your entire landscape. The table displays general identifying information for each asset.

The table provides immediate security context by displaying a breakdown of the cases and issues attached to each asset, highlighting the number of high or critical risks in brackets.

**Asset card**

Clicking an asset name in the table opens a unified asset card that consolidates its attributes and related risks. From this card, analysts can investigate all relevant normalized data and raw provider JSON connected to the asset, leave comments for other analysts, and use the Cortex Agentic Assistant to get AI-driven insights and recommendations.

**Asset classes**

To help you easily filter your inventory, assets are separated by their respective classes into dedicated sections under the **All Assets** menu. Note that the specific asset classes and types shown depend on your system licensing.

{% hint style="info" %}

### Note

To maintain an accurate and clutter-free asset inventory, an automated background cleanup process periodically removes outdated assets.
{% endhint %}


---

# 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, and the optional `goal` query parameter:

```
GET https://cortex-docs.paloaltonetworks.com/cortex-xdr-5.x/detect-investigate-and-respond-to-threats/asset-management/all-assets.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
