This page guides you through deploying a customizable Terraform to add AI Runtime Security instance protection for Azure cloud
resources.
On this page, you will configure an AI Runtime Security instance in SCM, download the
corresponding Terraform configuration, and deploy it in your cloud environment. This
setup will integrate the AI Runtime Security instance into your cloud network
architecture, enabling comprehensive monitoring and protection of your assets.
After onboarding, the SCM Command Center dashboard will show asset
discovery with no AI Runtime Security instance protection deployed.
Unprotected traffic paths to and from apps, models, and the internet are marked in
red until you add firewall protection. For more details, see Discover Your Cloud Resources.
Select Cloud Service Provider as Azure and select
Next.
In Firewall Placement, select one or more traffic flows to
inspect.
The following table shows the network traffic type the AI Runtime Security
instance or the VM-Series firewall can support:
Traffic Type
AI Runtime Security instance
VM-Series
AI Traffic - Traffic between your applications
and AI Models
✅
Non-AI Traffic and namespaces (example,
kube-system)
✅
Cluster Traffic
✅
Non-AI and non-cluster traffic
✅
✅
If you select the `kube-system` namespace,
the VM-Series firewall option will be grayed out, as only an AI Runtime
Security instance can protect these namespaces.
Select Next.
In Region & application(s):
Select your cloud account to secure from the onboarded cloud
accounts list.
Select a region from the available options.
In Selected applications, select the applications to secure from
the drop-down list.
This list includes application workloads such as namespaces, or vNets. If you
select the kube-system namespace, the VM-Series firewall option will be grayed
out, as only AI Runtime Security can protect these namespaces.
Enable protection for the vNet by selecting the Added vNet tab
and enter the following:
A vNet Name (Get the vNet name from Azure portal →
Virtual Networks page).
vNet CIDR (To view the vNet CIDR, go to the Azure portal →
Virtual networks and Select your virtual network.
Under Settings, click on the Address space to view
the CIDR block).
Enter a unique Terraform template name (use only alphanumeric
characters and hyphens, avoid using a hyphen at the beginning or end,
and limit the name under 19 characters).
Review the topology for your AI network architecture.
Click Create terraform template.
Click Download terraform template.
Close the deployment workflow to exit.
Unzip the downloaded file. Navigate to <unzipped-folder>
that has 2 directories: `architecture` and `modules`. Deploy the Terraform
templates in your cloud environment following the `README.md` file in the
`architecture` folder.
cd architecture
cd security_project
terraform init
terraform plan
terraform apply
cd ../application_project
terraform init
terraform plan
terraform apply
After the Terraform is deployed, the SCM Command Center dashboard starts
discovering the cloud assets and it takes some time to populate the asset
data.
In Available Devices, select the AI Runtime Security instance
and move it to Cloud Managed Devices to be managed by SCM.
Switch to the Cloud Managed Devices tab to view and
manage the connected state, the configuration sync state, and the licenses of
the deployed AI Runtime Security instances.
It takes a while before the Device Status shows as
connected.
