Elastic Security Engineer
A practical Elastic security engineering course for building, administering, and operating Elastic Stack as a flexible SIEM for log collection, parsing, detection, threat hunting, and response.
Elastic Security Engineer training.
Elastic Security Engineer is designed for analysts and engineers who need to implement Elastic SIEM from the ground up and use it effectively in security operations. The course covers architecture, log collection, integration, endpoint agents, parsing, enrichment, storage, alerting, root-cause analysis, and threat hunting with Kibana.
Elastic architecture, log engineering, SIEM operations, detection content, threat hunting, root-cause analysis, and production-ready security monitoring.
The page gives learners a concise executive overview first, then separates detailed coverage and expected outcomes for easier course evaluation.
What the course focuses on.
Each area is presented as part of a practical security workflow, with emphasis on evidence, validation, and professional communication.
Elastic Architecture
Cluster design, Elastic architecture, index templates, routing, mapping, retention, and production considerations.
Log Engineering
Collection methodology, parsing, data mapping, enrichment, IDS integration, and network investigation workflows.
SOC Foundations
MDR concepts, SOC compliance context, MITRE mapping, cyber kill chain, and defender operating models.
Zeek and Network Data
Zeek internals, network telemetry, parsing strategy, and investigation-centered analysis.
Detection and Alerting
Managed detections, real-time alerting, anomaly review, tuning, and reducing operational noise.
Threat Hunting
Kibana search methodology, APT activity hunting, root-cause analysis, and reporting outcomes.
Training modules.
The syllabus below follows the original Codefensive public course outline for this training.
Managed Detections and SOC foundations
- Need of MDR in the business
- Principles of MDR methodologies
- MDR vs Traditional SIEM solutions
- MITRE framework for SOC teams
- How to map MITRE framework within SIEM solutions
- SOC2 compliance for defensive environments
- Pyramid of pain and Cyber kill chain for defenders
ElasticSearch Cluster Implementation
- Detailed Understanding of Elastic Architecture
- ELK cluster creation with cerebro
- Fundamentals of ELK curator
- Index template for routing , mapping , Data Retention and Optimisation for a production ready elastic search .
Beats and Kibana Primer
- Populate the SIEM app with hosts and network security events using beats.
- Understand how Elastic Common Schema (ECS) enables SIEM to work with custom and third-party data sources supported by Beats.
- Configuration of Kibana, AAA policies of Kibana, visualisation of data and maintain the dashboards along with Elasticsearch.
- Performing graph analytics, employ machine learning for threat hunting, and alerts for automation .
ELK Log Parsing , IDS and Investigations
- Understanding the Log architecture
- Traditional Parsing vs Modern phrasing
- Dual stack SIEM and alerting engine for elasticsearch
- Network traffic investigation with Fine-grained packet sorting, Berkeley Packet Filters, messaging queue and Google Stenographer for further analysis .
- How to employ an IDS to support hunt operations .
- Suricata signature writing and Snort rules for defenders .
- IDS dashboards within Kibana.
Zeek for Defensive Operations
- Setup Zeek (formerly Bro)
- Understanding Zeek data flow
- Zeek logging, Zeek file types, and Zeek protocol analysis.
- Exploring Zeek for threat hunting with uses cases .
- Hands-on Zeek scripting
- Zeek Event Engine for defenders
- Intel & the Files Framework for defender
CAPES for SOC teams
- CAPES Foundations for defenders
- Perform IR management with CAPES .
- Exploring the multiple capabilities of CAPES including communication, documentation, VoIP, collaborative workspaces, indicator enrichment, data analysis, and data visualization.
Elastic Endgame for Security Engineers
- Installation and configuration of Elastic Endgame for detection.
- Understanding the alert management and whitelisting techniques.
- Exploring IOC search using Endgame.
- Artemis and Event Query Language (EQL) to identify advanced adversary tradecraft.
- Leveraging the API for extensibility of the platform and customisation of data collection.
- Utilise the Endgame Shell to explore the cutting-edge forensic capabilities
Threat Hunting With Elastic Stack
- Hunting with Windows event logs and Sysmon
- Hunting with common web server logs and web application logs
- Hunting with and correlating additional log types – syslog, DNS, firewall, IDS/IPS, etc.
- How to search logs to find, analyze, and contextualize anomalous/malicious events using ELK
- How to build and use analytic searches, visualizations, dashboards, automation, and alerting/reporting capabilities
- How to enrich and correlate logs with GeoIP,threat intelligence feeds, ATT&CK mappings, and other log types
- Creating Security Dasboards and Alert Automation
- Capstone: Threat Hunting with ELK CTF
After this course, learners should be able to:
- Design and administer an Elastic SIEM implementation.
- Build useful telemetry pipelines with parsing and enrichment.
- Investigate alerts and hunt anomalies using Elastic and Kibana.
- Map detections and findings to operational security outcomes.
Best suited for:
- SOC analysts
- detection engineers
- Elastic administrators
- security engineers implementing or improving SIEM operations
Built for professional learning.
Training is structured around readable theory, guided walkthrough context, exercises, knowledge checks, and practical decision-making.
Plan enrollment or team delivery.
Contact Codefensive Academy for course access, business training, or help selecting the right path.
