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Reviews AI agent execution sandboxes for code escape and lateral movement risks.
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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-sandbox |
| description | Reviews AI agent execution sandboxes for code escape and lateral movement risks. |
Review execution sandboxes (e.g., Python REPLs, bash tools, WASM) for LLM agents. Treat as highly hostile due to prompt injection risks.
RuntimeClass (e.g., gvisor, kata-containers) for sandboxes.limits to prevent DoS via infinite loops or memory bombs.