SIEM, UBA & Threat Analytics Training Course

Description

This course equips participants with the knowledge and practical skills required to monitor, detect, analyze, and respond to cybersecurity threats using Security Information and Event Management (SIEM), User and Entity Behavior Analytics (UBA/UEBA), and threat analytics tools. It focuses on log management, real-time security monitoring, anomaly detection, threat intelligence, and incident investigation. Participants will learn how modern security operations centers (SOCs) detect advanced threats and respond effectively using data-driven security analytics.

Target Groups

SOC analysts and cybersecurity analysts
IT security engineers and administrators
Network and system administrators
Incident response teams
Cybersecurity consultants and auditors
DevOps and cloud security professionals
Students in cybersecurity or IT fields
Professionals transitioning into SOC or security roles

Course Objectives

By the end of this course, participants will be able to:

Understand SIEM, UBA, and threat analytics concepts
Collect and analyze security logs from multiple sources
Detect and investigate security incidents in real time
Identify abnormal user and system behavior
Use correlation rules for threat detection
Work with threat intelligence feeds
Respond to alerts and security incidents effectively
Improve SOC monitoring and reporting capabilities
Apply analytics for proactive threat hunting
Strengthen organizational cybersecurity posture

Course Modules

Module 1: Introduction to SIEM, UBA & Threat Analytics

Overview of security monitoring and analytics
Role of SIEM in cybersecurity operations
Introduction to UBA/UEBA concepts
Threat analytics in modern security environments
SOC architecture and functions

Module 2: Log Management and Data Collection

Types of security logs (system, application, network)
Log aggregation techniques
Data normalization and parsing
Log storage and retention policies
Ensuring data integrity in log collection

Module 3: SIEM Architecture and Components

SIEM system architecture
Data ingestion and processing pipeline
Event correlation and rule engines
Dashboards and reporting tools
Integration with security tools

Module 4: Threat Detection and Correlation

Security event correlation techniques
Rule-based and behavior-based detection
Identifying attack patterns
False positives and tuning alerts
Real-time threat detection

Module 5: User and Entity Behavior Analytics (UBA/UEBA)

Introduction to behavioral analytics
Baseline user behavior modeling
Detecting anomalies and deviations
Insider threat detection
Machine learning in behavior analytics

Module 6: Threat Intelligence Integration

Understanding threat intelligence sources
Indicators of compromise (IOCs)
Enriching SIEM data with threat intelligence
Threat intelligence platforms (TIPs)
Using intelligence for proactive defense

Module 7: Incident Detection and Investigation

Security alert triage and prioritization
Investigating security incidents
Root cause analysis techniques
Evidence collection and documentation
Incident escalation procedures

Module 8: Threat Hunting and Advanced Analytics

Introduction to proactive threat hunting
Hypothesis-driven investigation
Advanced query and search techniques
Identifying hidden threats
Using analytics for predictive security

Module 9: SIEM Tools and SOC Operations

Overview of SIEM platforms (Splunk, IBM QRadar, Microsoft Sentinel)
SOC workflows and operations
Case management and ticketing systems
Alert management and automation
Performance metrics and SOC KPIs

Module 10: Capstone Project and Case Studies

Real-world SOC monitoring scenarios
Group project: building a SIEM-based threat detection framework
Case studies of cyberattacks detected via SIEM
Simulation of incident detection, investigation, and response
Emerging trends in AI-driven threat analytics, automated SOC operations, and predictive cybersecurity defense systems