Secure Amazon container workloads using container attribute-based rules in AWS Network Firewall

If you run AI and machine learning (ML) workloads on Amazon EKS, such as model inference, RAG pipelines, or JupyterHub, your containerized workloads require the same firewall protections you enforce for traditional applications. The following are some common patterns: - Pod group rules: Allow only payment-service pods to reach the external payment gateway over TLS: - Layer 7 application rules : Enforce block from all pods from reaching malicious destinations: At packet evaluation time, Network Firewall expands each @ reference against the current catalog.

The Cloud Risk

• Under IP set references, enter a variable name and from the resource ID drop-down, select the container association created in step 1.

Further details indicate that as pods scale up or restart, the firewall dynamically updates the IP-to-attribute mapping in near real-time and no manual rule updates are required.

Getting started The Network Firewall container attribute-based rules for Amazon container workloads can be configured using the AWS Management Console for Amazon Virtual Private Cloud (Amazon VPC), AWS Command Line Interface (AWS CLI), or AWS SDK by creating a container association.

Tests and results To verify these rules are working as expected, test using the curl command on a pod in the ecommerce namespace.

Affected Environments

To bind these attribute groups to running workloads, Network Firewall continuously watches your EKS cluster for pod lifecycle events (create and delete) across the namespaces covered by your container association definition.

Remediation Steps

1. Visibility into which pod or service generates blocked traffic is equally important, so you can troubleshoot faster and meet audit requirements.

2. As pods scale up or restart, the firewall dynamically updates the IP-to-attribute mapping in near real-time and no manual rule updates are required.

3. In multi-cluster environments, this feature enables centralized cross-cluster traffic inspection for any traffic that passes through the firewall.

4. This gives security teams the ability to trace blocked, allowed, or alerted traffic directly back to the originating workload.

5. Prerequisites This walkthrough requires an existing Network Firewall configured to filter traffic through your Amazon VPC.

6. • For Attribute filters, configure the EKS attribute to identify which pods to associate: - Attribute key: Enter the attribute key defined in your EKS cluster (for example, namespace, pod, cluster, or custom label key).

Analysis

Misconfigurations and patching gaps in cloud environments remain a persistent vector for unauthorized access.

Cloud security teams should conduct a thorough audit of their configurations and verify that default security settings have been hardened across all environments. Identity and access management policies should be reviewed to ensure least-privilege principles are enforced, with particular attention to service accounts and API keys. Organizations using infrastructure-as-code should update their templates and deployment pipelines to prevent similar misconfigurations from being deployed in the future. Continuous compliance monitoring and automated posture management tools can help catch configuration drift before it becomes exploitable. Where multi-cloud strategies are in place, security architects should verify that consistent policies apply across providers. Regular penetration testing of cloud assets remains an essential validation step.

Sources

1. https://aws.amazon.com/blogs/security/secure-amazon-container-workloads-using-container-attribute-based-rules-in-aws-network-firewall/