# Azure vSensor

- [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/introduction-and-requirements.md): Azure vSensor deployment introduction and requirements including Sensor Registration Token, Brain and Sensor communications requirements, and Azure requirements.
- [Deployment from Azure marketplace](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/deployment-from-azure-marketplace.md): Deploying the Azure vSensor image from the Azure marketplace.
- [Azure Host ID integration](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/azure-host-id-integration.md): Configuring HostID integration between your Vectra Brain and the Azure Resource Manager.
- [Pairing Azure vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/pairing-azure-vsensors.md): Pair Azure vSensors to a Brain using the Sensor Registration Token workflow (Azure vSensors do not support online pairing).
- [Directing traffic to Azure vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/directing-traffic-to-azure-vsensor.md): How to direct traffic to Azure vSensors.
- [Azure cPacket cVu-V](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/azure-cpacket-cvu-v.md): Optionally deploy cPacket cVu-V in Azure to feed traffic for a Vectra vSensor for packet capture and NDR visibility.


---

# Agent Instructions: 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:

```
GET https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
