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Learning Outcome
4
Prioritize alerts by severity, impact, and threat confidence.
3
Differentiate True/False Positives and Negatives.
2
Describe the alert triaging and investigation workflow.
1
Explain the purpose of alert triaging in a SOC.
5
Use logs, IOCs, and MITRE ATT&CK for investigations.
A hospital emergency room receives many patients throughout the day. Some have serious conditions, while others have minor problems.
Patients = Security Alerts
Doctors quickly check each patient's symptoms, medical history, and condition to understand how serious the case is.
Reviewing an alert = Alert Analysis;
Checking seriousness = Severity Assessment
Patients with life-threatening conditions are treated first, while less serious cases wait.
Prioritizing alerts based on severity, risk, and business impact
Doctors investigate critical patients further and call specialists when necessary.
Alert Investigation and Escalation to senior security teams
The most critical patients receive immediate treatment, while false alarms or low-risk cases are handled appropriately.
True Positive alerts lead to response, while False Positives are safely closed after verification.
What is SIEM?
SIEM (Security Information and Event Management) tools collect, store, analyze, and monitor security data from systems, devices, and applications.
They provide centralized visibility to help security teams detect, investigate, and respond to threats.
Examples: Splunk, Wazuh, IBM QRadar, Microsoft Sentinel.
Role of SIEM in SOC
SOC teams use SIEM to:
Monitor security events
Detect threats
Investigate alerts
Analyze logs
Support incident response
SIEM also automates monitoring and analysis of large amounts of security data.
Why Organizations Use SIEM
Organizations generate large volumes of logs from servers, endpoints, firewalls, applications, and cloud services.
SIEM centralizes these logs, improves security visibility, speeds up threat detection, and supports compliance.
Popular SIEM Tools
Commercial SIEM
Commercial solutions provide advanced features, vendor support, and enterprise scalability.
Examples: Splunk, IBM QRadar, Microsoft Sentinel, LogRhythm.
Open-Source SIEM
Open-source solutions offer customizable security monitoring with lower licensing costs.
Examples: Splunk, IBM QRadar, Microsoft Sentinel, LogRhythm.
Other SIEM Platforms
Splunk
Log management, analytics, monitoring, and threat detection.
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AI arranges content beautifully for better flow and impact
IBM QRadar
Log management, event correlation, and threat detection.
Microsoft Sentinel
Cloud-native SIEM and security analytics.
Wazuh
Log analysis, endpoint monitoring, vulnerability detection, and security monitoring.
What is Splunk?
Splunk is a data analytics and security monitoring platform that collects and analyzes machine-generated data.
It is widely used for SIEM, security monitoring, incident investigation, and threat detection.
Key Features
Log collection and indexing
Powerful search
Real-time monitoring
Alert generation
Splunk Architecture
Forwarders
Lightweight agents that collect logs and send them to Splunk.
Examples: Windows logs, Linux logs, application logs.
Indexers
Receive, process, and store data in searchable indexes.
Search Head
Provides the interface for searching data, creating dashboards, generating reports, and investigating incidents.
Splunk Dashboards
Display security information such as:
Alerts
Threat trends
Authentication activity
System events
Incident statistics
Search and Reporting
Splunk uses Splunk Processing Language (SPL) to search and analyze large datasets and supports automated reporting.
Splunk Use Cases:
Alerts
Threat trends
Authentication activity
System events
Incident statistics
What is Wazuh?
Wazuh is an open-source security platform for security monitoring, threat detection, endpoint protection, and log analysis.
It supports both on-premises and cloud environments.
Key Features
Log analysis
Endpoint monitoring
File integrity monitoring
Vulnerability detection
Security configuration assessment
Wazuh Architecture
Wazuh Agent
Installed on endpoints to collect security information and send it to the Wazuh Manager.
Wazuh Manager
Processes agent data, applies detection rules, and generates alerts.
Wazuh Indexer
Stores and indexes security data for searching and analysis.
Wazuh Dashboard
Provides a web interface for monitoring events, investigating alerts, and managing Wazuh.
Wazuh Monitoring
Includes:
Endpoint monitoring
Log monitoring
File integrity monitoring
Vulnerability monitoring
Security configuration monitoring
Wazuh Use Cases
Endpoint security
Vulnerability management
Threat detection
Compliance monitoring
File integrity monitoring
Splunk vs Wazuh
The choice depends on budget, requirements, and infrastructure.
Common SIEM Functions
Log Search
Allows analysts to search logs for suspicious activity and investigate incidents.
Alert Generation
Creates alerts when detection rules identify suspicious activity.
Dashboard Visualization
Log Collection
Collects logs from endpoints, servers, applications, network devices, and cloud services.
Threat Detection
Analyzes events and applies rules to identify malicious activity.
Displays security information through charts, graphs, and reports.
SIEM Workflow
Data Collection
Log Ingestion
Event Analysis
Alert Generation
Investigation
Data Collection
Gather security data from different sources.
Send logs to the SIEM for processing and storage.
Analyze events using rules and analytics.
Generate alerts for suspicious activity.
Analysts examine alerts and logs.
Provide information for incident response and remediation.
Benefits of SIEM
Centralized Visibility: Monitors security activities in one place.
Faster Detection: Identifies suspicious activity quickly.
Improved Investigation: Provides historical and detailed event data.
Compliance Support: Supports logging, retention, and reporting.
Monitoring Efficiency: Automates monitoring and analysis.
Challenges of SIEM
Large Data Volumes:
Requires significant processing and storage.
Alert Fatigue:
High alert volumes can overwhelm analysts.
Rule Tuning:
Rules require continuous adjustment.
Resource Requirements:
Needs skilled personnel and infrastructure.
Learning Curve:
Analysts need time to learn SIEM tools and workflows.
Summary
5
SIEM tools improve SOC operations and incident response.
4
Both support logging, alerting, investigation, and threat detection.
3
Wazuh is an open-source platform with strong endpoint monitoring.
2
Splunk is a commercial SIEM with powerful search and analytics.
1
SIEM tools collect, analyze, and monitor security events.
Quiz
Which of the following is an open-source SIEM platform?
B. IBM QRadar
C. Microsoft Sentinel
D. Wazuh
A. Splunk
Quiz-Answer
D. Wazuh
Which of the following is an open-source SIEM platform?
A. Splunk
B. IBM QRadar
C. Microsoft Sentinel
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