K8sGPT
AI-powered Kubernetes troubleshooting tool that scans clusters and explains issues in plain language.
Independent assessment across data handling, compliance, security and transparency.
Risk factors
3- Cloud-based tool with potential data exposure
- User-generated troubleshooting data may be used for training
- Standard privacy policy without strong enterprise controls
Recommendations
3- Use local AI backends for sensitive clusters
- Filter sensitive data before analysis
- Run with minimal RBAC permissions
Data handling
- Storage
- Local or connected AI backend
- Retention
- Cluster data sent to AI provider for analysis
- Training on inputs
- Depends on chosen AI backend
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