Automate Kubernetes Deployment Approvals for AI Agents
Automate kubectl deployment approvals with AgentUnblocker. Control AI agent access to k8s clusters, prevent production incidents, and maintain security.
The Problem
Kubectl commands can deploy, scale, or delete critical workloads in Kubernetes clusters. AI agents need controlled access to k8s without risking production incidents.
The Solution
AgentUnblocker provides namespace-aware approval rules for kubectl commands, auto-approving safe operations in dev namespaces while protecting production workloads.
How It Works
Claude Code executes kubectl commands
AgentUnblocker identifies target namespace and cluster
Dev namespace operations auto-approve
Production deployments trigger approval with manifest preview
All k8s operations logged in dashboard
Key Benefits
Auto-approve kubectl in development namespaces
Protect production clusters from accidental changes
Review deployment manifests before applying
Prevent resource-intensive pod scaling
Track all k8s operations in audit log
Example Configuration
# Auto-approve kubectl get/describe commands
agentunblocker config set-rule kubectl-read-only auto
# Require approval for production deployments
agentunblocker config set-rule kubectl-prod-deploy manual
# Block kubectl delete on production
agentunblocker config set-rule kubectl-delete-prod blockFrequently Asked Questions
How does AgentUnblocker detect which k8s namespace is being targeted?
AgentUnblocker parses kubectl commands and context to identify the target namespace, cluster, and resource type before applying approval rules.
Can I allow AI agents to read production but not modify it?
Yes! You can configure read-only access to production namespaces while requiring approval for any write operations (apply, delete, scale).
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