Enhancing container security in Amazon EKS Auto Mode with KubeArmor

Enhancing container security in Amazon EKS Auto Mode with KubeArmor The runtime security challenge in Kubernetes Architecture Key components Prerequisites How does KubeArmor improve EKS Auto Mode security? 1. System call-level protection 2. Granular process and file access control 3. Supply chain security enhancement 4. Zero-day vulnerability mitigation 5. Compliance support Real world use case Deployment steps Step 1: Create an EKS Auto Mode cluster Step 2: Install KubeArmor using Helm Step 3: Verify KubeArmor installation Step 4: Apply file integrity monitoring/protection policy Implementing security policies with KubeArmor Use case 1: Web application hardening Use case 2: Crypto mining prevention Progressive policy implementation Integrating with AWS security services Benefits of integration Amazon CloudWatch integration Enhanced threat response with AWS GuardDuty integration Unified security dashboard Cleaning up Step 1: Remove KubeArmor policies Step 2: Uninstall KubeArmor components Step 3: Remove CloudWatch integration resources Step 4: Delete the EKS Auto Mode cluster Step 5: Remove IAM resources (if created) Step 6: Remove local configuration Security Best Practices to consider Conclusion Resources About the authors This post was written with Rahul Jadhav from Accuknox. As organizations adopt Amazon Elastic Kubernetes Service (Amazon EKS) Auto Mode for its streamlined Kubernetes cluster management, security remains a shared responsibility. Although EKS Auto Mode automates control plane operations, container runtime security needs more attention. In this post, we explore how KubeArmor , an open source container-aware security enforcement system, enhances the security posture of containerized workloads running on EKS Auto Mode clusters. Although EKS Auto Mode significantly streamlines cluster management by automating control plane and node operations, securing the workloads running within the cluster remains a critical user responsibility. Traditional security tools often struggle to provide granular visibility and control at the container runtime level, leaving potential gaps for sophisticated attacks. Container runtime security presents unique challenges that traditional security approaches don’t fully address.