> 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-34.md).

# Vertex AI index endpoint is public misconfiguration detected in code

## Rule Details

|                        |                           |
| ---------------------- | ------------------------- |
| Cortex AppSec Rule ID  | APPSEC2\_GCP\_34          |
| Category - Subcategory | Public Exposure - APIs    |
| Provider               | GCP                       |
| Severity               | MEDIUM                    |
| Framework              | Terraform, Terraform Plan |

## Impact

This rule evaluates whether the Vertex AI index endpoint is set to private in Google Cloud Platform. If it is not private, it means that the endpoint could be exposed to the public, potentially disclosing sensitive information and opening up avenues for undesired changes to be made. This could lead to security vulnerabilities, such as data breaches or unauthorized access. Thus, ensuring that the Vertex AI index endpoint is private enhances the security of the system.

## How to Fix

*Resource:* google\_vertex\_ai\_index\_endpoint

* *Arguments:* public\_endpoint\_enabled

## To fix this issue, set `public_endpoint_enabled` to `false` or do not include this parameter. \[source,go]

resource "google\_vertex\_ai\_index\_endpoint" "default" { ...

* public\_endpoint\_enabled = true }

***


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