Description

Introduction of SIEM for Compliance

Security Information and Event Management (SIEM) solutions provide advanced threat detection through log correlation, analytics, and proactive threat hunting. This SIEM for Compliance course explores the advanced capabilities of SIEM for security professionals looking to improve their incident detection, forensic analysis, and response strategies.

Prerequisites

• Basic understanding of SIEM operations and log management.
• Familiarity with security event correlation and incident response.
• Knowledge of cybersecurity frameworks and threat intelligence.

Table of Contents

1. Introduction to Advanced SIEM Capabilities
1.1 Evolution of SIEM from Log Management to Threat Intelligence
1.2 Key Components of an Advanced SIEM System(Ref: Optimizing SIEM Performance: Tuning and Fine-Tuning Use Cases)
1.3 Challenges in SIEM Deployment and Optimization

2. Log Collection, Normalization, and Enrichment
2.1 Log Sources and Data Aggregation Best Practices
2.2 Parsing and Normalizing Logs for Better Correlation
2.3 Integrating Threat Intelligence Feeds for Enriched Context

3. Advanced Correlation Techniques in SIEM
3.1 Rule-Based Correlation vs. Behavior-Based Analysis
3.2 Implementing Custom Correlation Rules for Threat Detection
3.3 SIEM Use Cases: Detecting Lateral Movement and Insider Threats
3.4 Reducing False Positives Through Adaptive Thresholding

4. Security Analytics and Machine Learning in SIEM
4.1 Using Machine Learning for Anomaly Detection
4.2 Behavioral Analytics for User and Entity Monitoring (UEBA)
4.3 SIEM in SOC Operations: Automating Threat Detection
4.4 Integrating SIEM with SOAR for Automated Response

5. Threat Hunting Strategies with SIEM
5.1 The Role of Threat Hunting in Cybersecurity Operations
5.2 Proactive vs. Reactive Threat Hunting Approaches
5.3 Building Custom Queries and Dashboards for Hunting
5.4 Case Studies: Real-World Threat Hunting Scenarios

6. Incident Investigation and Forensic Analysis
6.1 Using SIEM for Digital Forensics and Incident Response
6.2 Timeline Analysis: Reconstructing Cyber Attacks
6.3 Correlating Events Across Multiple Data Sources
6.4 Generating Incident Reports for Security Teams

7. SIEM Optimization and Performance Tuning
7.1 Improving SIEM Query Performance and Storage Efficiency
7.2 Scaling SIEM for Large and Distributed Environments
7.3 Fine-Tuning Detection Rules and Reducing Alert Fatigue
7.4 Best Practices for Continuous SIEM Improvement

8. Future Trends in SIEM and Cybersecurity Analytics
8.1 AI and Deep Learning for Threat Detection
8.2 Cloud-Based SIEM and Security Analytics Platforms
8.3 The Role of Zero Trust in SIEM Strategies
8.4 The Future of Threat Intelligence and SIEM Evolution

This SIEM for Compliance course equips security professionals with advanced SIEM techniques to improve threat detection, analytics, and proactive threat hunting. By mastering correlation, machine learning, and forensic analysis, organizations can enhance their cybersecurity posture and mitigate evolving threats.

Reference