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How to Manually Install the Venari V-Comply Sensor On-Premises

This guide walks you through the steps required to manually install the Venari V-Comply sensor on a physical or virtual machine, such as ESXi, Proxmox, VirtualBox, or similar environments.

This guide does not include traffic mirroring configuration. Clients are responsible for setting up network mirroring so the sensor can observe the relevant traffic.


Overview: What Does the Sensor Do?

The Venari Sensor is designed to observe mirrored (copied) network traffic from your environment. The captured traffic undergoes an initial local analysis on the sensor, and only metadata is sent securely to the Venari platform for further and deeper analysis.

Corporate Network Topology

Corporate Network Topology

Prerequisites

Before beginning the installation:

  • Download the ISO: Ensure you have access to the latest V-Sensor ISO image. The download link is provided by Venari Support.

  • Access Credentials: You should have received your V-Comply UI access link and login credentials via email from Venari Support. If not, or if you've lost them, please reach out to us.

  • Network Restrictions: If your environment blocks outbound internet traffic by default, contact Venari Support to get a list of domains and ports that need to be whitelisted from your side.

The following table describes the recommended system requirements based on expected traffic volume. For higher throughput or tailored deployments, please contact Venari Support for guidance.

CPU Memory Max Throughput
4 Cores 16 GB 250 Mbps
8 Cores 32 GB 500 Mbps
16 Cores 64 GB 1 Gbps

Register Your Sensor on the VVP Platform

Before installing the sensor, it must be registered in the V-Comply platform using your account. To do this, follow the steps below within the V-Comply UI.

  1. Log in to the V-Comply UI (link provided via email)

  2. Go to V-Configure > Sensor Profile

  3. Click Configure Sensor Profile.

  4. Select:

    • Sensor Type: On Premise Sensor

    • Cloud Init: Select "Without Cloud Init"

  5. Fill in:

    • Hostname (e.g. dubai-sensor-01)

    • Domain Name (e.g. yourcompany.com) → Full FQDN: dubai-sensor-01.yourcompany.com

    • Capture Interface (e.g. eth1)

    • Management IP / Netmask / Gateway

    • Define the Venari Admin SSH password

  6. Click Add ProfileScreenshot from 2025-07-29 15-49-41

  7. Copy the registration token—you'll need it during installation

Keep this token secure. It contains sensitive configuration information.

Sensor Installation Instructions

  1. Boot your VM or machine from the Venari Sensor ISO image.Picture

  2. Wait for the OS installation to complete.

  3. Use SSH to log in to the sensor using the following default credentials

    • Username: venariadmin

    • Password: venariadmin

  4. When prompted, enter the registration tokenPicture

  5. The sensor will auto-download and install the required packages.

  6. After Deployment, the sensor instance will have:

    • management interface for SSH, updates, and communicating with the V-Comply backend and servers.

    • At least 1 capture interface to receive mirrored traffic

  7. SSH as venariadmin into the sensor again using the password you defined during registration (not the default password) and retrieve the public IP address of the sensor by following these steps:

    • From the sensor console: Support Menu → 5: Active Connectivity Checks

  8. Send this IP to the Venari Support so it can be whitelisted.

Why?
For security, only whitelisted sensor IPs are allowed to send data to the V-Comply backend. Without this step, the sensor won’t work, and V-Comply won't show any data.


Installing on AWS?

If you're deploying the sensor on AWS using CloudFormation, follow this guide instead:
How to Install a Venari Sensor on AWS Using CloudFormation

Need Help?

If you did not receive your VVP link, ISO download, or credentials—or if you're facing any issues. Please contact the Venari Support.


Thank you for securing your network with Venari.
Your sensor is now actively monitoring encrypted traffic metadata for actionable insights.