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Digital Forensics
Training Course on Enterprise Network Security Monitoring for DFIR
Introduction
In today’s rapidly evolving cyber threat landscape, enterprise network security monitoring plays a critical role in effective Digital Forensics and Incident Response (DFIR). Training Course on Enterprise Network Security Monitoring for DFIR is designed to empower cybersecurity professionals, SOC analysts, and incident responders with hands-on, tactical skills to monitor, detect, and investigate network intrusions and anomalies within enterprise infrastructures. With rising threats such as APTs, zero-day exploits, and lateral movements, organizations must adopt proactive threat hunting, packet analysis, and real-time alerting mechanisms to secure critical assets. This training integrates threat intelligence with deep packet inspection, behavioral analytics, and endpoint telemetry to build robust incident response strategies.
By leveraging real-world scenarios and advanced security toolkits, this course bridges the gap between traditional monitoring and modern DFIR tactics. Learners will master tools such as Zeek, Suricata, Security Onion, ELK Stack, Wireshark, and PCAP analysis, enabling rapid detection of malicious activity across distributed environments. Through practical labs, live case studies, and MITRE ATT&CK mapping, participants will gain a comprehensive understanding of data correlation, log analysis, and incident triage processes. The curriculum is tailored for enterprise defenders who want to stay ahead of threat actors using evidence-based, threat-driven defense models.
Programme Curriculum
Training Course on Enterprise Network Security Monitoring for DFIR
Introduction
In today’s rapidly evolving cyber threat landscape, enterprise network security monitoring plays a critical role in effective Digital Forensics and Incident Response (DFIR). Training Course on Enterprise Network Security Monitoring for DFIR is designed to empower cybersecurity professionals, SOC analysts, and incident responders with hands-on, tactical skills to monitor, detect, and investigate network intrusions and anomalies within enterprise infrastructures. With rising threats such as APTs, zero-day exploits, and lateral movements, organizations must adopt proactive threat hunting, packet analysis, and real-time alerting mechanisms to secure critical assets. This training integrates threat intelligence with deep packet inspection, behavioral analytics, and endpoint telemetry to build robust incident response strategies.
By leveraging real-world scenarios and advanced security toolkits, this course bridges the gap between traditional monitoring and modern DFIR tactics. Learners will master tools such as Zeek, Suricata, Security Onion, ELK Stack, Wireshark, and PCAP analysis, enabling rapid detection of malicious activity across distributed environments. Through practical labs, live case studies, and MITRE ATT&CK mapping, participants will gain a comprehensive understanding of data correlation, log analysis, and incident triage processes. The curriculum is tailored for enterprise defenders who want to stay ahead of threat actors using evidence-based, threat-driven defense models.
Course Objectives
Understand the fundamentals of enterprise network security monitoring in DFIR workflows
Implement threat detection techniques using Security Onion, Zeek, and Suricata
Analyze PCAPs and log files to identify Indicators of Compromise (IoCs)
Integrate MITRE ATT&CK framework for adversary behavior detection
Perform real-time network traffic monitoring and anomaly detection
Build centralized logging using the ELK Stack for forensic investigation
Conduct deep packet inspection for intrusion analysis and evidence extraction
Develop threat intelligence pipelines for contextual incident response
Correlate endpoint and network data for comprehensive threat visibility
Automate alert triage and playbook-based incident handling
Apply statistical and behavioral methods for proactive threat hunting
Document and report forensic findings using industry best practices
Enhance readiness for breach detection, containment, and recovery
Target Audiences
SOC Analysts
Network Security Engineers
Incident Responders
Cybersecurity Analysts
Digital Forensics Investigators
Threat Hunters
IT Security Managers
Government/Defense Cyber Units
Course Duration: 5 days
Course Modules
Module 1: Introduction to DFIR and Network Security Monitoring
Overview of DFIR lifecycle
Role of network monitoring in DFIR
Key terminologies and concepts
Common attack vectors and artifacts
Importance of baselining network traffic
Case Study: Initial Compromise via Malicious Email Attachment
Module 2: Network Traffic Capture and Analysis
Introduction to packet capture tools (tcpdump, Wireshark)
Understanding protocols and packet headers
Filtering and dissecting PCAPs
Identifying anomalies and suspicious sessions
Hands-on: Capture analysis with Wireshark
Case Study: Detecting Beaconing Activity from a Compromised Host
Module 3: Intrusion Detection Systems (IDS) in DFIR
Zeek and Suricata architecture
Signature-based vs behavior-based detection
Writing and tuning IDS rules
Integration with Security Onion
Alert triage and metadata enrichment
Case Study: Uncovering Command and Control (C2) via Suricata
Module 4: Centralized Logging with the ELK Stack
Setting up Elasticsearch, Logstash, and Kibana
Ingesting logs from various sources
Building dashboards for SOC visibility
Querying data using Kibana and Elasticsearch DSL
Visualizing threats and patterns
Case Study: Ransomware Detection Using ELK Dashboard Correlation
Module 5: Threat Intelligence and MITRE ATT&CK Integration
Introduction to threat intelligence sources (STIX/TAXII)
Mapping logs to MITRE ATT&CK tactics and techniques
Enriching alerts with threat context
YARA rules and threat feed integration
Using OpenCTI and MISP
Case Study: Attribution of APT Group Using MITRE Technique Mapping
Module 6: Endpoint and Network Correlation Techniques
Combining endpoint telemetry and network logs
Detecting lateral movement and privilege escalation
Leveraging EDR platforms with SIEM
Timeline reconstruction and session stitching
Reducing false positives with layered visibility
Case Study: Investigating Credential Dumping in a Hybrid Cloud Network
Module 7: Proactive Threat Hunting and Anomaly Detection
Hypothesis-driven vs data-driven hunting
Leveraging machine learning for pattern recognition
Behavioral analytics and baseline deviations
Custom detection scripts using Sigma/KQL
Developing repeatable hunting procedures
Case Study: Discovery of Insider Threat Through Statistical Anomaly
Module 8: Reporting, Documentation, and Legal Considerations
Incident reporting standards (NIST, ISO)
Chain of custody and evidence handling
Creating actionable incident reports
Communication with legal/compliance teams
Lessons learned and post-mortem analysis
Case Study: Incident Disclosure and Compliance Reporting for GDPR Breach
Training Methodology
Hands-on Labs: Real-world scenarios using open-source tools and sandbox environments
Live Demonstrations: Tool walkthroughs and DFIR workflows with instructor guidance
Interactive Case Studies: Learners analyze, respond, and report on attack simulations
Group Discussions: Collaborative analysis and peer reviews
Assessments and Quizzes: Knowledge checks to reinforce learning outcomes
Downloadable Resources: Cheat sheets, detection rules, and configuration templates
Register as a group from 3 participants for a Discount
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.