> 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/appsec-rules/iac-security/ai-and-machine-learning/appsec2-gcp-33.md).

# Vertex AI endpoint is public misconfiguration detected in code

## Rule Details

|                        |                           |
| ---------------------- | ------------------------- |
| Cortex AppSec Rule ID  | APPSEC2\_GCP\_33          |
| Category - Subcategory | Public Exposure - APIs    |
| Provider               | GCP                       |
| Severity               | MEDIUM                    |
| Framework              | Terraform, Terraform Plan |

## Impact

This rule is checking to make sure that the Vertex AI endpoint is private. This is important because if the endpoint is public, it could be easily accessible to anyone on the internet, increasing the risk of unauthorized access and potential data breaches. By ensuring that the endpoint is private, it helps in safeguarding sensitive data and mitigating potential security threats.

## How to Fix

*Resource:* google\_vertex\_ai\_endpoint

* *Arguments:* network

## To fix this issue, make sure there is a network attached to your Vertex AI endpoint. This makes sure that the Vertex AI endpoint remains private and not exposed to public internet. \[source,go]

## resource "google\_vertex\_ai\_endpoint" "example" { ... network = google\_service\_networking\_connection.private\_vpc\_connection.id }


---

# 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/appsec-rules/iac-security/ai-and-machine-learning/appsec2-gcp-33.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.