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How to automate incident response for Amazon EKS on Amazon EC2
- Automated incident response in AWS environments is crucial for minimizing impact, especially with standardized processes for capturing forensic evidence and quarantining resources.
- Implementing automation allows for quick and repeatable responses to security events, emphasizing the need for a defined process and understanding of actions for AWS resources.
- Differences between Amazon EC2 and EKS clusters on EC2 impact incident response automation, considering Amazon GuardDuty for security event detection.
- Understanding the relationship between EKS and EC2 is important for responding to security events such as anomalous behavior within EKS clusters.
- Accessing Amazon EKS clusters using kubectl for forensic evidence collection and managing pods on EKS clusters is essential in automated incident response.
- Capturing volatile memory is critical for determining the root cause of security events in EKS clusters, with differences in obtaining information from EC2 instances.
- Network segmentation on EKS involves isolating compromised resources using security groups, network policies, and node cordoning to protect the cluster.
- Identity and access management plays a vital role in EKS incident response, using IAM roles, service-linked roles, and Kubernetes RBAC configurations for authorization.
- Automated EKS incident response involves incorporating workflows for acquisition, isolation, and investigation using solutions like the Automated Forensics Orchestrator for Amazon EC2.
- Implementing the automated solution requires specific prerequisites and steps for deployment using AWS services like AWS CLI, CDK, and Security Hub.
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