Introduction

In today’s rapidly evolving cloud-native environments, containerization has become the cornerstone of DevOps and microservices architecture. While technologies such as Docker and Kubernetes offer scalability, speed, and portability, they also introduce complex security challenges and new attack surfaces. With cyber threats targeting container workloads, the need for skilled professionals in container forensics is more urgent than ever. Training Course on Container Forensics is designed to equip security analysts, forensic investigators, and DevOps teams with hands-on knowledge in investigating compromised containers, detecting advanced persistent threats (APTs), and implementing incident response strategies across containerized ecosystems.

This course delves deep into forensic techniques and investigative frameworks tailored for container environments. Participants will master key skills such as container log analysis, memory acquisition, file system investigation, audit trail reconstruction, and orchestrator (Kubernetes) forensics. Using real-world case studies, threat intelligence, and lab simulations, this program enhances capabilities in identifying indicators of compromise (IOCs), reverse engineering container images, and conducting forensic readiness in CI/CD pipelines. Designed with trending topics in cybersecurity and digital forensics, this course also integrates cloud-native forensics, runtime threat detection, and compliance auditing as core learning pillars.

Programme Curriculum

Training Course on Container Forensics

Introduction

Course Objectives

Understand the fundamentals of container technology (Docker, Kubernetes) and attack surfaces.
Perform live and static forensics on compromised containers.
Capture and analyze container logs, audit trails, and runtime data.
Identify Indicators of Compromise (IOCs) in container environments.
Conduct forensic analysis of Kubernetes clusters and nodes.
Reverse engineer container images to uncover malicious layers.
Use open-source container forensics tools effectively (e.g., Falco, Sysdig, Dive).
Apply threat intelligence to container investigations.
Automate container forensics in CI/CD and DevSecOps pipelines.
Map MITRE ATT&CK tactics and techniques to container threats.
Develop compliance-driven forensic documentation and reporting.
Integrate cloud-native forensics into AWS, Azure, and GCP environments.
Build a forensic readiness plan for microservices-based infrastructure.

Target Audience

Cybersecurity Analysts – Enhance skills in real-time container breach detection and investigation.
Digital Forensics Investigators – Learn specialized techniques for Docker and Kubernetes environments.
Cloud Security Engineers – Strengthen cloud-native container forensics and monitoring.
DevSecOps Professionals – Integrate forensics with CI/CD pipelines and security automation.
IT Incident Responders – Acquire skills to respond to container-based threats and security incidents.
SOC Analysts – Improve response workflows and alert triaging in containerized infrastructure.
Penetration Testers & Ethical Hackers – Understand post-exploitation traces in container breaches.
Compliance & Risk Officers – Gain awareness on evidence handling and forensic audits in regulated environments.

Course Duration: 5 Days

Course Modules

Module 1: Introduction to Container Security & Forensics

Overview of Docker and Kubernetes architecture
Threat landscape for containerized environments
Differences between traditional and container forensics
Common attack vectors in container ecosystems
Overview of forensic methodologies for containers
Case Study: Analysis of a container supply-chain attack (SolarWinds-style exploit)

Module 2: Log Analysis in Docker and Kubernetes

Log sources: Docker logs, Kubernetes audit logs, journald
Tools: EFK/ELK stack, Loki, Fluentd
Timestamp correlation and container lifecycle logging
Detecting anomalies and privilege escalation attempts
Techniques for log retention and chain of custody
Case Study: Investigating privilege escalation through Kubernetes audit logs

Module 3: Memory and Process Forensics in Containers

Challenges in memory acquisition from ephemeral containers
Using tools like Volatility with container images
Identifying injected code and rogue processes
Capturing and analyzing core dumps
Memory forensics for runtime container analysis
Case Study: Memory dump analysis of a cryptojacking container

Module 4: File System & Volume Forensics

Investigating Docker image layers and filesystem diffs
Persistence mechanisms within container volumes
Hidden files and malicious binaries analysis
Use of Dive, Binwalk, and container diff tools
Immutable infrastructure and ephemeral data considerations
Case Study: File system analysis of an image used in data exfiltration

Module 5: Kubernetes Cluster Forensics

Forensics on control plane and worker nodes
Kubelet, etcd, API server logs investigation
RBAC misconfiguration and role escalation traces
Container orchestration attack detection
Evidence collection from pods, services, and namespaces
Case Study: Post-incident analysis of a Kubernetes node breach

Module 6: Threat Hunting & MITRE ATT&CK Mapping

Mapping container events to MITRE ATT&CK for Containers
Threat detection with Falco and Sysdig rules
IOC enrichment with threat intelligence feeds
TTP correlation for adversary emulation
Building detection rules in Kubernetes-native environments
Case Study: Hunting for container breakout attempts using Falco

Module 7: CI/CD & DevSecOps Pipeline Forensics

Integrating forensics into CI/CD pipelines
Detection of poisoned container builds
GitOps artifacts and audit trails investigation
Supply chain compromise detection
Automation of evidence collection post-deployment
Case Study: Forensic response to a malicious GitHub Actions runner in CI

Module 8: Reporting, Compliance, and Forensic Readiness

Legal considerations and forensic soundness
Documentation and evidence handling best practices
Compliance with NIST, ISO, GDPR, HIPAA standards
Building a container forensics response playbook
Reporting frameworks for audits and legal defense
Case Study: GDPR compliance audit after a Kubernetes data breach

Training Methodology

Hands-on labs using simulated container breach scenarios
Live instructor-led sessions covering theoretical foundations
Tool-based walkthroughs with Falco, Sysdig, Dive, Volatility, and ELK stack
Group activities to solve real-world forensic case challenges
Knowledge checks and quizzes after each module
Final capstone project involving multi-step container incident investigation

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Docker/K8s forensic tools container monitoring software

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000