Kubernetes Security
Scanner & Remediation Tool
Automatically detect misconfigurations and security vulnerabilities in Kubernetes environments. Built to demonstrate automated security scanning, intelligent remediation suggestions, and real-time cluster monitoring.
The Challenge
Why Kubernetes security matters in today's cloud-native world
The Threat Landscape
Recent cloud infrastructure breaches at Microsoft, AMD & Intel cloud vulnerabilities, and supply chain attacks (remember xz/liblzma?) highlight the critical need for automated security detection.
The Solution
Build a tool that automatically detects security vulnerabilities and misconfigurations in Kubernetes environments, with intelligent remediation suggestions or automated fixes.
The Approach
Multiple approaches possible: CI/CD integration, admission controller, in-cluster scanner, or ML-based analysis. The key is making it maintainable, scalable, and accurate.
Our Implementation
A comprehensive security scanning solution demonstrating the core capabilities
6 Security Scans
Automated detection of secrets, misconfigurations, RBAC wildcards, exposed services, container images, and workload vulnerabilities.
Topology Visualization
Interactive graph showing relationships between namespaces, pods, services, and nodes with real-time vulnerability highlighting.
Continuous Monitoring
In-cluster daemon continuously scans for issues, exposing findings through REST API with detailed remediation suggestions.
Architecture
Simple, scalable design for enterprise Kubernetes
Cluster Scanner
Kubernetes Python client scans all namespaces
ClusterScanner.scan()Graph Builder
Converts resources to nodes & links
GraphBuilder.build()FastAPI
REST API exposes graph data
GET /api/graphNext.js UI
ReactFlow visualization
useGraphStore()Evaluation Criteria
What makes a great Kubernetes security scanner?
Detection Quality
- Accurately finds misconfigurations
- Covers broad attack surface
- Minimizes false positives
- Provides clear, actionable feedback
Operational Excellence
- Easy to deploy and use
- Simple to maintain and extend
- Scales with cluster size
- Minimal resource overhead
- Fast deployment time
Innovation
- Novel detection approaches
- Intelligent remediation
- Extensible architecture
- Integration-friendly design
- Significant original contribution
Ready to explore the demo?
See our Kubernetes security scanner in action with live cluster data
View Live Demo