Automated Threat Detection: Building SOC Solutions with Splunk, TheHive, and Snort
2h 22mIntermediate2025-07-29
Authors

Assma Fadhli
Course details
This course is tailored for security analysts and SOC teams at beginner to intermediate levels, focusing on enhancing automated threat detection skills. Instructor Assma Fadhli helps you explore tools like Splunk, TheHive, and Snort to identify, analyze, and respond to security threats. The course emphasizes practical, hands-on exercises to configure, optimize, and troubleshoot these tools for improved detection accuracy. Additionally, learn how to integrate these tools into a comprehensive project, creating a scalable and effective threat detection system. By the end of the course, you should be better equipped to implement these solutions in real-world environments and elevate your SOC operations.
Learning objectives
Configure and use automated threat detection tools like Splunk, TheHive, and Snort to identify security threats.
Explain the core principles of automated threat detection and its importance in a SOC environment.
Analyze security incidents using predefined threat detection rules and alerts in Splunk and TheHive.
Troubleshoot and optimize Snort configurations to enhance detection accuracy.
Design and implement a small-scale threat detection project by integrating Splunk, TheHive, and Snort into a unified security solution.
Learning objectives
Configure and use automated threat detection tools like Splunk, TheHive, and Snort to identify security threats.
Explain the core principles of automated threat detection and its importance in a SOC environment.
Analyze security incidents using predefined threat detection rules and alerts in Splunk and TheHive.
Troubleshoot and optimize Snort configurations to enhance detection accuracy.
Design and implement a small-scale threat detection project by integrating Splunk, TheHive, and Snort into a unified security solution.
Skills covered
Incident ResponseNetwork AdministrationCybersecurityNetwork and System AdministrationOne-Off
Concepts
0. Introduction
- 01 - Understanding automated threat detection and its role in modern cybersecurity
- 02 - Overview of key tools - Splunk, TheHive, and Snort
- 03 - Benefits of an integrated detection system
1. Setting Up and Configuring Threat Detection Tools
- 04 - Preparing the system requirements for implementation
- 05 - Installing VMware Workstation Pro
- 06 - Setting up pfSense VM
- 07 - VM setup - Windows, Kali, and pfSense access
- 08 - Integrating Snort with Syslog-ng and Splunk
- 09 - Installing TheHive - Prerequisites and setup
- 10 - Configuring Splunk for data ingestion
- 11 - Integrating Splunk, TheHive, and Snort
- 12 - Security considerations during deployment
- 13 - Troubleshooting common setup issues
2. Operating and Optimizing Threat Detection Systems
- 14 - Monitoring threats in Splunk
- 15 - Simulating real-world threats with Snort
- 16 - Creating and managing cases in TheHive
- 17 - Optimizing Snort rules and settings
- 18 - Correlating threat data across tools
- 19 - Troubleshooting detection and integration issues
- 20 - Automating incident workflows
3. Advanced Threat Detection and Future Trends
- 21 - Understanding advanced threat detection concepts
- 22 - Recognizing common attack patterns
- 23 - Using TheHive for complex incident management
- 24 - Evaluating threat detection efficiency
- 25 - Optimizing rules and workflows for advanced threats
- 26 - Designing custom threat detection scenarios
- 27 - Future trends and advancements in threat detection
- 28 - Building a unified threat detection and response pipeline
- 29 - Reviewing practical applications of the tools
Conclusion
- 30 - Secure your systems with confidence
Related courses
- Build Secure Applications on Google Cloud: Hands-On Projects with Gemini
- AWS Certified Advanced Networking - Specialty (ANS-C01) Cert Prep (2025)
- AI-Driven Threat Protection with Microsoft Defender for Cloud
- Automate Cyber Defense with GenAI: Building and Deploying AI-Driven Solutions
- AI-Driven Threat Response with Microsoft Defender for Cloud
- Advanced Threat Modeling and Risk Assessment in DevSecOps
- The AI-Driven Cybersecurity Analyst
- Fine-Tuning LLMs for Cybersecurity: Mistral, Llama, AutoTrain, AutoGen, and LLM Agents
Related learn paths
- Leverage AI as a Cybersecurity Analyst
- Become an Ethical Hacker
- Become a Penetration Tester
- Prepare for the AWS Certified Security - Specialty (SCS-C02) Certification
- Advance Your JavaScript Skills
- Explore a Career in Application Security
- Advance Your Skills as a Supply Chain Manager
- Prepare for the AWS Certified Cloud Practitioner (CLF-C01) Certification Exam