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Technical Architecture & Overview

KubeArmor is a cloud-native runtime security enforcement system for Kubernetes and virtual machines. It uses Linux security modules and eBPF to apply least-permissive policies on process execution, file access, and network operations. Administrators use it to block unwanted behavior inline and generate alerts for policy violations.

Targeted Technical Use Cases

Enforcement of runtime security policies on Kubernetes pods and virtual machines with least-permission controls.

Evaluation & Trade-offs

Core Strengths

  • +Inline enforcement via Linux security modules and eBPF.
  • +Native Kubernetes integration with CRD-based policy management.
  • +Policy templates for common workload hardening scenarios.

Trade-Offs & Limitations

  • -Enforcement depends on the Linux security modules available on the host, which vary by OS distribution.

Defensive Security Application

Prevent unauthorized process execution and file access in containerized and virtualized workloads.

Frequently Asked Questions

What is KubeArmor?→

KubeArmor is a cloud-native runtime security enforcement system for Kubernetes and virtual machines. It uses Linux security modules and eBPF to apply least-permissive policies on process execution, file access, and network operations. Administrators use it to block unwanted behavior inline and generate alerts for policy violations.

What is KubeArmor used for?→

Enforcement of runtime security policies on Kubernetes pods and virtual machines with least-permission controls.

What are the strengths of KubeArmor?→
  • +Inline enforcement via Linux security modules and eBPF.
  • +Native Kubernetes integration with CRD-based policy management.
  • +Policy templates for common workload hardening scenarios.
What are the limitations of KubeArmor?→
  • +Enforcement depends on the Linux security modules available on the host, which vary by OS distribution.
How is KubeArmor used defensively?→

Prevent unauthorized process execution and file access in containerized and virtualized workloads.