KubeGuard
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Analyzes Kubernetes Role security configurations using LLM-assisted prompt chaining to provide comprehensive risk assessments and hardening recommendations.
About
KubeGuard is a Model Context Protocol (MCP) server designed to enhance Kubernetes security by performing detailed analysis of Role configurations. It leverages a unique 5-step LLM prompt chaining methodology, integrated with static rule-based analysis, to assess Kubernetes Role security. The server provides a security score from 0-100, correlates granted permissions with actual runtime usage, and can generate least-privilege Role configurations to proactively harden your Kubernetes clusters against potential vulnerabilities.
Key Features
- Static rule-based security assessment of Kubernetes Roles
- LLM-assisted 5-step prompt chaining for deep security analysis
- Correlation of granted permissions with actual runtime usage
- Comprehensive security scoring (0-100 scale) with detailed breakdown
- Automated generation of least-privilege Role configurations
- 0 GitHub stars
Use Cases
- Validating Kubernetes Role security against defined thresholds
- Generating hardened, least-privilege Kubernetes Role configurations
- Performing comprehensive security analysis of Kubernetes Roles