Security concepts for applications and clusters in Azure Kubernetes Service (AKS)
Container security protects the entire end-to-end pipeline from build to the application workloads running in Azure Kubernetes Service (AKS).
The Secure Supply Chain includes the build environment and registry.
Kubernetes includes security components, such as pod security standards and Secrets. Azure includes components like Active Directory, Microsoft Defender for Containers, Azure Policy, Azure Key Vault, network security groups, and orchestrated cluster upgrades. AKS combines these security components to:
- Provide a complete authentication and authorization story.
- Apply AKS Built-in Azure Policy to secure your applications.
- End-to-End insight from build through your application with Microsoft Defender for Containers.
- Keep your AKS cluster running the latest OS security updates and Kubernetes releases.
- Provide secure pod traffic and access to sensitive credentials.
This article introduces the core concepts that secure your applications in AKS.
As the entry point for the Supply Chain, it's important to conduct static analysis of image builds before they are promoted down the pipeline. This includes vulnerability and compliance assessment. It's not about failing a build because it has a vulnerability, as that breaks development. It's about looking at the Vendor Status to segment based on vulnerabilities that are actionable by the development teams. Also use Grace Periods to allow developers time to remediate identified issues.
Assessing the vulnerability state of the image in the Registry detects drift and also catches images that didn't come from your build environment. Use Notary V2 to attach signatures to your images to ensure deployments are coming from a trusted location.
In AKS, the Kubernetes master components are part of the managed service provided, managed, and maintained by Microsoft. Each AKS cluster has its own single-tenanted, dedicated Kubernetes master to provide the API Server, Scheduler, etc. For more information, see Vulnerability management for Azure Kubernetes Service.
By default, the Kubernetes API server uses a public IP address and a fully qualified domain name (FQDN). You can limit access to the API server endpoint using authorized IP ranges. You can also create a fully private cluster to limit API server access to your virtual network.
You can control access to the API server using Kubernetes role-based access control (Kubernetes RBAC) and Azure RBAC. For more information, see Microsoft Entra integration with AKS.
AKS nodes are Azure virtual machines (VMs) that you manage and maintain.
- Linux nodes run optimized versions of Ubuntu or Azure Linux.
- Windows Server nodes run an optimized Windows Server 2019 release using the
containerdor Docker container runtime.
When an AKS cluster is created or scaled up, the nodes are automatically deployed with the latest OS security updates and configurations.
AKS clusters running:
- Kubernetes version 1.19 and higher - Linux node pools use
containerdas its container runtime. Windows Server 2019 node pools use
containerdas its container runtime, which is currently in preview. For more information, see Add a Windows Server node pool with
- Kubernetes version 1.19 and earlier - Linux node pools use Docker as its container runtime. Windows Server 2019 node pools use Docker for the default container runtime.
For more information about the security upgrade process for Linux and Windows worker nodes, see Security patching nodes.
Node authorization is a special-purpose authorization mode that specifically authorizes kubelet API requests to protect against East-West attacks. Node authorization is enabled by default on AKS 1.24 + clusters.
Nodes are deployed onto a private virtual network subnet, with no public IP addresses assigned. For troubleshooting and management purposes, SSH is enabled by default and only accessible using the internal IP address. Disabling SSH during cluster and node pool creation, or for an existing cluster or node pool, is in preview. See Manage SSH access for more information.
To provide storage, the nodes use Azure Managed Disks. For most VM node sizes, Azure Managed Disks are Premium disks backed by high-performance SSDs. The data stored on managed disks is automatically encrypted at rest within the Azure platform. To improve redundancy, Azure Managed Disks are securely replicated within the Azure datacenter.
Hostile multitenant workloads
Currently, Kubernetes environments aren't safe for hostile multitenant usage. Extra security features, like Pod Security Policies or Kubernetes RBAC for nodes, efficiently block exploits. For true security when running hostile multitenant workloads, only trust a hypervisor. The security domain for Kubernetes becomes the entire cluster, not an individual node.
For these types of hostile multitenant workloads, you should use physically isolated clusters. For more information on ways to isolate workloads, see Best practices for cluster isolation in AKS.
Because of compliance or regulatory requirements, certain workloads may require a high degree of isolation from other customer workloads. For these workloads, Azure provides:
- Kernel isolated containers to use as the agent nodes in an AKS cluster. These containers are completely isolated to a specific hardware type and isolated from the Azure Host fabric, the host operating system, and the hypervisor. They are dedicated to a single customer. Select one of the isolated VMs sizes as the node size when creating an AKS cluster or adding a node pool.
- Confidential Containers (preview), also based on Kata Confidential Containers, encrypts container memory and prevents data in memory during computation from being in clear text, readable format, and tampering. It helps isolate your containers from other container groups/pods, as well as VM node OS kernel. Confidential Containers (preview) uses hardware based memory encryption (SEV-SNP).
- Pod Sandboxing (preview) provides an isolation boundary between the container application and the shared kernel and compute resources (CPU, memory, and network) of the container host.
For connectivity and security with on-premises networks, you can deploy your AKS cluster into existing Azure virtual network subnets. These virtual networks connect back to your on-premises network using Azure Site-to-Site VPN or Express Route. Define Kubernetes ingress controllers with private, internal IP addresses to limit services access to the internal network connection.
Azure network security groups
To filter virtual network traffic flow, Azure uses network security group rules. These rules define the source and destination IP ranges, ports, and protocols allowed or denied access to resources. Default rules are created to allow TLS traffic to the Kubernetes API server. You create services with load balancers, port mappings, or ingress routes. AKS automatically modifies the network security group for traffic flow.
If you provide your own subnet for your AKS cluster (whether using Azure CNI or Kubenet), do not modify the NIC-level network security group managed by AKS. Instead, create more subnet-level network security groups to modify the flow of traffic. Make sure they don't interfere with necessary traffic managing the cluster, such as load balancer access, communication with the control plane, or egress.
Kubernetes network policy
To limit network traffic between pods in your cluster, AKS offers support for Kubernetes network policies. With network policies, you can allow or deny specific network paths within the cluster based on namespaces and label selectors.
To protect pods running on AKS, consider Microsoft Defender for Containers to detect and restrict cyber attacks against your applications running in your pods. Run continual scanning to detect drift in the vulnerability state of your application and implement a "blue/green/canary" process to patch and replace the vulnerable images.
With a Kubernetes Secret, you inject sensitive data into pods, such as access credentials or keys.
- Create a Secret using the Kubernetes API.
- Define your pod or deployment and request a specific Secret.
- Secrets are only provided to nodes with a scheduled pod that requires them.
- The Secret is stored in tmpfs, not written to disk.
- When you delete the last pod on a node requiring a Secret, the Secret is deleted from the node's tmpfs.
- Secrets are stored within a given namespace and are only accessible from pods within the same namespace.
Using Secrets reduces the sensitive information defined in the pod or service YAML manifest. Instead, you request the Secret stored in Kubernetes API Server as part of your YAML manifest. This approach only provides the specific pod access to the Secret.
The raw secret manifest files contain the secret data in base64 format. For more information, see the official documentation. Treat these files as sensitive information, and never commit them to source control.
Kubernetes secrets are stored in etcd, a distributed key-value store. AKS fully manages the etcd store and data is encrypted at rest within the Azure platform.
To get started with securing your AKS clusters, see Upgrade an AKS cluster.
For associated best practices, see Best practices for cluster security and upgrades in AKS and Best practices for pod security in AKS.
For more information on core Kubernetes and AKS concepts, see: