review-security-k8s-agents-data-exfil

Audit Kubernetes network egress, RBAC, and volume mounts for data exfiltration risks.

42|32|Updated May 7, 2026
One-click install
npx skills add https://github.com/gke-labs/kube-agents --skill review-security-k8s-agents-data-exfil
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-security-k8s-agents-data-exfil
Source: https://github.com/gke-labs/kube-agents/tree/main/.agents/skills/review-security-k8s-agents-data-exfil
Command: npx skills add https://github.com/gke-labs/kube-agents --skill review-security-k8s-agents-data-exfil

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the critical security gap where AI agents running in Kubernetes might inadvertently exfiltrate sensitive data due to overly permissive network configurations or excessive RBAC access.

Core Features & Use Cases

  • Egress Control Auditing: Identifies missing NetworkPolicies and overly broad egress rules that could allow unauthorized data transmission.
  • RBAC & Mount Analysis: Detects dangerous blanket permissions on sensitive Kubernetes resources like secrets and configmaps.
  • Use Case: Use this tool before deploying a new agent to ensure it cannot communicate with unauthorized external endpoints or access cluster secrets it does not strictly require.

Quick Start

Use the review-security-k8s-agents-data-exfil skill to audit the current cluster configuration for potential data exfiltration risks.

Frequently Asked Questions about review-security-k8s-agents-data-exfil

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent data exfiltration from AI agents running in Kubernetes?

To prevent data exfiltration from AI agents in Kubernetes, audit your infrastructure for overly permissive network egress policies and excessive RBAC access using a security review skill. This validates egress gateways and enforces least-privilege principles.

How do I audit Kubernetes RBAC permissions for sensitive resources?

You can audit Kubernetes RBAC permissions by analyzing access controls for sensitive resources like secrets and configmaps. The audit identifies dangerous blanket permissions and validates that least-privilege principles are enforced for AI agent deployments.

Why does my Kubernetes deployment allow unauthorized outbound traffic to external endpoints?

Unauthorized outbound traffic in Kubernetes occurs when NetworkPolicies are missing or egress rules are overly broad. Auditing your cluster configuration identifies these permissive rules and validates the presence of restrictive egress gateways.

Can I check if my Kubernetes NetworkPolicies restrict unauthorized data transmission?

Yes, you can check Kubernetes NetworkPolicies by auditing egress control configurations. The security review identifies missing policies and overly broad egress rules that could allow unauthorized data transmission from AI agents.

When do I need to audit volume mount security for Kubernetes AI agent deployments?

You need to audit volume mount security before deploying a new AI agent to ensure it cannot access cluster secrets it does not strictly require. This validates that sensitive volume mounts comply with least-privilege principles.