Advanced Threat Hunting Professional Certification Course
Course Name - Advanced Threat Hunting Professional Certification Course
The only professional certification course you need to learn Advanced Threat Hunting.
Course Overview
The “Advanced Threat Hunting” course equips cybersecurity professionals with proactive skills to identify, investigate, and mitigate threats before they materialize into breaches. Covering topics like hypothesis-driven hunting, behavioral analytics, and SIEM tools (Splunk, ELK Stack), it blends theory with extensive hands-on labs and real-world case studies. Learners will master frameworks such as MITRE ATT&CK, develop threat-hunting playbooks, and participate in Red and Blue Team exercises, making them adept at both detection and prevention strategies.
Course Type
Advanced-level course.
Course Objectives
– Develop a strong understanding of threat-hunting concepts and methodologies.
– Master SIEM tools for monitoring and detecting security threats.
– Analyze and interpret threat intelligence and behavioral data.
– Build and execute threat-hunting playbooks for continuous improvement.
– Gain practical experience through case studies, labs, and collaborative Red/Blue Team exercises.
What You'll Learn?
Participants will gain skills in proactive threat detection, utilizing frameworks like MITRE ATT&CK and the Cyber Kill Chain. You’ll become proficient in SIEM tools such as Splunk and the ELK Stack, perform behavioral analytics, and integrate threat intelligence into your security operations. Practical labs and projects, including developing custom threat-hunting playbooks, will ensure learners can apply their knowledge in real-world scenarios.
Duration
40–50 hours.
Requirements
– A computer with stable internet access.
– A virtual lab environment or cloud-based tools for hands-on exercises.
Pre-requisites
– Basic knowledge of cybersecurity concepts and tools.
– Familiarity with incident response and security operations.
– Understanding of programming or scripting (e.g., Python) is helpful but not mandatory.
Target Audience
– Cybersecurity analysts looking to advance their skills in threat hunting.
– Security engineers interested in proactive threat detection methodologies.
– Experienced IT professionals transitioning into cybersecurity roles.
– SOC (Security Operations Center) team members aiming to improve detection capabilities.
Batch Details
Batch Start Date
Batch Timing
Batch End Date
Batch Days
Syllabus
– Overview of Threat Hunting
– Importance and benefits in cybersecurity strategies
– Key terminologies and concepts
– Practical Exercise: Case study analysis of a successful threat hunt
– Hypothesis-driven hunting
– Indicator of Attack (IoA) vs. Indicator of Compromise (IoC)
– Frameworks: MITRE ATT&CK, Cyber Kill Chain
– Lab: Crafting hypotheses for specific attack scenarios
– Introduction to Splunk architecture and components
– Search Processing Language (SPL) basics
– Dashboard creation for monitoring threats
– Lab: Set up and execute searches for detecting malicious activity
– ELK Stack overview (Elasticsearch, Logstash, Kibana)
– Querying and visualizing data in Kibana
– Integrating threat intelligence feeds
– Lab: Build visualizations to detect anomalies
– Identifying normal vs. abnormal behavior
– Machine learning in behavioral analytics
– Tools for anomaly detection
– Lab: Apply anomaly detection techniques to network traffic
– Types of threat intelligence: strategic, operational, tactical
– Sources of threat intelligence (OSINT, commercial feeds)
– Integrating threat intelligence with SIEM tools
– Lab: Use threat feeds to correlate and enrich alerts
– Understanding Red and Blue Team operations
– Conducting adversary emulation
– Collaborating for continuous improvement
– Lab: Simulate an attack scenario and defend against it
– Components of an effective playbook
– Playbook automation and orchestration
– Monitoring and measuring hunting success
– Final Project: Develop and execute a custom threat-hunting playbook
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