A biomedical research company hosts containerized analytics workloads on Google Kubernetes Engine (GKE) and stores container images in Artifact Registry. The security team requires a solution that automatically blocks unverified container images containing known high-severity vulnerabilities from being deployed into production GKE clusters, while continuously detecting unauthorized process executions or kernel anomalies at runtime. Which architectural strategy should you recommend?
- Configure Artifact Registry vulnerability scanning alongside Binary Authorization policies to enforce image attestations before deployment, and enable Security Command Center Container Threat Detection for runtime kernel monitoring.Cevap
- BAssign the Owner role to the GKE node service account so that node agents can automatically scan images in Artifact Registry and block unauthorized runtime process execution.
- CGrant the Service Account Admin role to the deployment pipeline service account to allow it to validate image vulnerabilities and manage GKE cluster admission controllers.
- DImplement VPC Service Controls perimeters around Artifact Registry and rely on IAM permissions to prevent deployment of vulnerable images and flag runtime process anomalies.
Cevap
Configure Artifact Registry vulnerability scanning alongside Binary Authorization policies to enforce image attestations before deployment, and enable Security Command Center Container Threat Detection for runtime kernel monitoring.
Combining Artifact Registry vulnerability scanning with Binary Authorization ensures that container images are scanned and verified via attestations before deployment to GKE. Enabling Security Command Center Container Threat Detection provides out-of-band monitoring of low-level kernel activities to identify runtime container threats without performance overhead.
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Anahtar Kavram
Multi-layered container security using Binary Authorization for deployment control and Security Command Center Container Threat Detection for runtime protection.