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Reviews Kubernetes configurations to prevent data exfiltration by AI agents.
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Based on SOC occupation classification
Autonomously poll, triage, investigate, and resolve unaddressed open issues on our target GitHub repository strictly within authorized scope.
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.
Audit, monitor, and debug the logging, tracing, metrics, and API/dashboard observability of the Platform Agent.
Standard Operating Procedure (SOP) for generating and updating secure, compliant, and cost-effective GKE manifests.
Systematic Standard Operating Procedure (SOP) for diagnosing GKE workload failures, crash loops, resource OOMs, mounting errors, and connectivity timeouts.
Reviews Kubernetes Pod security contexts for workload-level isolation and privilege escalation risks.
| name | review-security-k8s-agents-data-exfil |
| description | Reviews Kubernetes configurations to prevent data exfiltration by AI agents. |
Review infrastructure for AI agent data exfiltration risks (e.g. via prompt injection).
0.0.0.0/0.HTTP_PROXY) for Deep Packet Inspection and SNI allowlisting.get/list/watch RBAC on sensitive resources (secrets, configmaps).