Course

Introduction to SIEM (Splunk)

EDUCBA

This course provides a comprehensive understanding of Security Information and Event Management (SIEM) concepts and practical skills using Splunk as an SIEM solution. It covers SIEM fundamentals, Splunk architecture, data collection and management, data analysis, and advanced topics such as correlation and incident response.

  • Learn SIEM fundamentals and its role in cybersecurity.
  • Acquire hands-on experience with Splunk's features and capabilities.
  • Discover various methods and techniques for ingesting, organizing, and efficiently managing data within the Splunk platform.
  • Designed for cybersecurity professionals, IT administrators, and analysts seeking to enhance their SIEM skills.

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Introduction to SIEM (Splunk)
Course Modules

This course comprises three modules: Introduction to SIEM and Log Management, Splunk Architecture and Installation, and Data Collection and Management in Splunk. Learners will gain a comprehensive understanding of SIEM fundamentals, Splunk's features, and effective data management in Splunk.

Introduction to SIEM and Log Management

This module provides an overview of SIEM fundamentals, the importance of SIEM in security operations, and the benefits organizations can gain by implementing SIEM solutions, including improved threat detection, enhanced incident response, regulatory compliance, and operational efficiency.

It also includes practical demonstrations of log collection with Splunk, log search and analysis, and an introduction to Splunk compliance and reporting.

Splunk Architecture and Installation

This module familiarizes learners with Splunk as a leading SIEM platform, covering topics such as downloading, installing, and configuring Splunk, understanding its architecture and components, and deployment models. It also explores how Splunk stores data and offers practical demos on Splunk apps and licensing.

Learners will gain hands-on experience with Splunk's user interface and basic functionality, enabling them to compare and contrast Splunk's abilities with other SIEM solutions in the market.

Data Collection and Management in Splunk

This module focuses on various methods and techniques for ingesting, organizing, and efficiently managing data within the Splunk platform. It covers data ingestion using forwarders, APIs, and other sources, data parsing, indexing, and retention strategies, and concepts of fields, tags, and event types in Splunk for organizing and categorizing data efficiently.

Learners will also gain an understanding of data retention policies and strategies to control the lifecycle of data in Splunk, ensuring relevant data is retained while managing storage costs.

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