LFS460

Kubernetes Security Fundamentals

This course provides the skills and knowledge to maintain security in dynamic, multi-project environments and address security concerns for cloud production environments. Through hands-on labs, you will learn a range of security best practices for container-based applications and Kubernetes platforms. The course covers the entire security lifecycle, from supply chain security before cluster configuration to ongoing monitoring and logging of security events. It is designed to prepare you for the Certified Kubernetes Security Specialist (CKS) certification exam.

Linux Foundation
✓ Official training Linux FoundationLevel Intermediate⏱️ 4 days (28h)

What you will learn

  • Learn to maintain security in dynamic, multi-project environments
  • Address security concerns for cloud production environments
  • Use hands-on labs to learn security best practices for container-based applications and Kubernetes platforms
  • Gain key knowledge and skills related to the Certified Kubernetes Security Specialist (CKS) certification exam

Prerequisites

  • A good understanding of Linux
  • Familiarity with the command line
  • Familiarity with package managers
  • Familiarity with Git and GitHub
  • Proficiency working with Kubernetes (the equivalent of being CKA-certified)

Target audience

  • Anyone holding a CKA certification, Anyone interested in or responsible for cloud security

Training Program

10 modules to master the fundamentals

Topics covered

  • →The Linux Foundation Certifications
  • →The Linux Foundation Digital Badges
  • →Laboratory Exercises, Solutions and Resources
  • →Things Change in Linux and Open Source Projects
  • →E-Learning Course: LFS260
  • →Platform Details

Topics covered

  • →Multiple Projects
  • →What is Security?
  • →Assessment
  • →Prevention
  • →Detection
  • →Reaction
  • →Classes of Attackers
  • →Types of Attacks
  • →Attack Surfaces
  • →Hardware and Firmware Considerations
  • →Security Agencies
  • →Manage External Access
  • →Labs

Topics covered

  • →Image Supply Chain
  • →Runtime Sandbox
  • →Verify Platform Binaries
  • →Minimize Access to GUI
  • →Policy Based Control
  • →Labs

Topics covered

  • →Update Kubernetes
  • →Tools to Harden the Kernel
  • →Kernel Hardening Examples
  • →Mitigating Kernel Vulnerabilities
  • →Labs

Topics covered

  • →Restrict Access to API
  • →Enable Kube-apiserver Auditing
  • →Configuring RBAC
  • →Pod Security Admission
  • →Minimize IAM Roles
  • →Protecting etcd
  • →CIS Benchmark
  • →Using Service Accounts
  • →Labs

Topics covered

  • →Firewalling Basics
  • →Network Plugins
  • →Mitigate Brute Force Login Attempts
  • →Ingress Objects
  • →Pod to Pod Encryption
  • →Restrict Cluster Level Access
  • →Labs

Topics covered

  • →Minimize Base Image
  • →Static Analysis of Workloads
  • →Runtime Analysis of Workloads
  • →Overview of SBOM
  • →Container Immutability
  • →Mandatory Access Control
  • →SELinux
  • →AppArmor
  • →Generate AppArmor Profiles
  • →Labs

Topics covered

  • →Understanding Phases of Attack
  • →Preparation
  • →Understanding an Attack Progression
  • →During an Incident
  • →Handling Incident Aftermath
  • →Intrusion Detection Systems
  • →Threat Detection
  • →Behavioral Analytics
  • →Labs

Topics covered

  • →Preparing for the Exam
  • →Labs

Topics covered

  • →Evaluation Survey

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Upcoming sessions

March 23, 2026
Distanciel • Français
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August 24, 2026
Distanciel • Français
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December 7, 2026
Distanciel • Français
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2,800€ excl. VAT

per learner