> 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-xsiam/cloud-security/cortex-cloud-ai-security/cortex-cloud-saas-security/saas-ai-agent-security/manage-saas-ai-agents/view-datasets.md).

# View Datasets

A Dataset is a collection of unseen, raw data, used by SaaS Agents to generate predictions, classifications, or recommendations. The Datasets view within the SaaS Security module (**Modules > SaaS Security > Asset Inventory > Datasets**) provides an aggregated overview and granular table of Cloud Datasets as well as datasets ingested, generated, or utilized by connected SaaS applications and AI agents.&#x20;

<img src="/files/OQWrXwUmbUundxEUZ5W8" alt="" height="361" width="624">

The top section contains three analytical widgets summarizing the current security and provider posture of the dataset inventory. Widgets include:

* Risk Breakdown: Displays the proportion of monitored datasets containing unresolved security vulnerabilities, policy violations, or anomalous access patterns.&#x20;
* Providers: Tracks datasets exposed to the public internet or accessible outside authorized organizational boundaries.&#x20;

From the List View you can click on any Dataset to view the entire Agent ecosystem. Select any option below to investigate further:

* Overview: Provides details such as Provider name, Owner, and Descriptions.
* AI Ecosystem: Provides a graphical view of the tools connected to the Dataset.
* Related Agents: Includes agent identity insights, tracking of dormant agents, as well as a breakdown of risks associated with agents connected to the Dataset.


---

# 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-xsiam/cloud-security/cortex-cloud-ai-security/cortex-cloud-saas-security/saas-ai-agent-security/manage-saas-ai-agents/view-datasets.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.

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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.
