> 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/analytics-alerts/alerts-by-name/ai-model-discovery.md).

# AI model discovery

### Synopsis

| Field                | Value                                                                                                   |
| -------------------- | ------------------------------------------------------------------------------------------------------- |
| Activation Period    | 14 Days                                                                                                 |
| Training Period      | 30 Days                                                                                                 |
| Test Period          | 10 Minutes                                                                                              |
| Deduplication Period | 5 Days                                                                                                  |
| Required Data        | <p>Requires one of the following data sources:<br>AWS Audit Log OR Azure Audit Log OR Gcp Audit Log</p> |
| Detection Modules    | Cloud                                                                                                   |
| Detector Tags        | Cloud AI Infrastructure Analytics                                                                       |
| ATT\&CK Tactic       | Discovery (TA0007)                                                                                      |
| ATT\&CK Technique    | Cloud Service Discovery (T1526)                                                                         |
| Severity             | Low                                                                                                     |

### Description

A cloud identity listed available AI models. This behavior often suggests reconnaissance on AI models and potential misuse. MITRE ATLAS Technique: AML.T0007 - Discover ML Artifacts.

### Attacker's Goals

Gather information about AI models in the environment.

### Investigative actions

* Determine which AI models were enumerated.
* Monitor the usage of affected AI models to detect potential misuse, such as unusual or excessive access attempts.
* Investigate any unusual activity originating from the suspected identity.


---

# 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/analytics-alerts/alerts-by-name/ai-model-discovery.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.