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Course Outline

Cybersecurity Made Easy

Advanced Cyber Threat Hunting with Threat Intelligence Training Course

Rating

9/10

Duration

4 Days

Course Overview

This advanced course equips participants with the skills and techniques for proactive cyber threat hunting using Cyber Threat Intelligence (CTI) data, anomaly detection, and behavioral analytics. Participants will learn to identify and investigate threats before they materialize into incidents, leveraging tools, frameworks, and real-world scenarios to enhance their threat hunting capabilities. Hands-on labs and case studies will provide practical experience in uncovering hidden threats, improving detection capabilities, and strengthening an organization’s security posture.

Format of Training

  • Interactive instructor-led sessions.
  • Hands-on labs with threat hunting tools and CTI integration.
  • Real-world case studies and hunting scenarios.
  • Access to advanced threat hunting frameworks and resources.

Course Objectives

  1. Understand the principles and objectives of advanced cyber threat hunting.
  2. Use CTI data to identify potential threat vectors and attack patterns.
  3. Implement anomaly detection techniques to uncover unusual activity.
  4. Leverage behavioral analytics to identify adversary tactics and techniques.
  5. Use tools and frameworks like MITRE ATT&CK, Splunk, and ELK Stack for threat hunting.
  6. Develop and execute proactive threat hunting campaigns.
  7. Integrate threat hunting findings into incident response and organizational defense strategies.

Prerequisites

  • Strong understanding of cybersecurity concepts and threat landscapes.
  • Familiarity with CTI and basic incident response workflows.
  • Experience with security tools and logs is recommended but not mandatory.
  • Willingness to engage in hands-on labs and advanced analytical exercises.
Course Outline

Day 1:

Session 1: Introduction to Advanced Threat Hunting

  • Principles and goals of proactive threat hunting.
  • Key differences between traditional detection and proactive hunting.
  • Role of CTI in enhancing threat hunting strategies.

Session 2: Leveraging CTI for Threat Hunting

  • Integrating CTI data into threat hunting workflows.
  • Using CTI to map adversary tactics, techniques, and procedures (TTPs).
  • Hands-on lab: Analyzing CTI data for threat hunting leads.

Session 3: Tools and Frameworks for Threat Hunting

  • Overview of threat hunting tools: Splunk, Elastic, and more.
  • Applying MITRE ATT&CK for structured threat hunting.
  • Hands-on lab: Setting up a threat hunting environment using selected tools.

Day 2:

Session 1: Anomaly Detection Techniques

  • Identifying deviations from normal behavior in networks and systems.
  • Using statistical methods and machine learning for anomaly detection.
  • Hands-on lab: Detecting anomalies in network traffic data.

Session 2: Behavioral Analytics for Threat Hunting

  • Understanding adversary behavior and creating behavior profiles.
  • Identifying and tracking advanced persistent threats (APTs).
  • Hands-on lab: Using behavioral analytics to uncover hidden threats.

Session 3: Threat Hunting in Cloud Environments

  • Challenges and strategies for threat hunting in cloud infrastructures.
  • Using cloud-native tools for anomaly detection and CTI integration.
  • Case study: Conducting a threat hunting campaign in a cloud environment.

Day 3:

Session 1: Developing Proactive Hunting Campaigns

  • Planning and executing threat hunting campaigns.
  • Setting objectives and key performance indicators (KPIs) for hunting efforts.
  • Hands-on lab: Designing and running a proactive hunting campaign.

Session 2: Investigating and Responding to Findings

  • Documenting and prioritizing findings from hunting campaigns.
  • Integrating findings into incident response workflows.
  • Hands-on lab: Investigating threat hunting results and responding to incidents.

Session 3: Threat Hunting Case Studies

  • Real-world examples of successful threat hunting operations.
  • Lessons learned from complex hunting scenarios.
  • Group discussion: Applying case study insights to organizational hunting strategies.

Day 4:

Session 1: Automation and Continuous Threat Hunting

  • Using scripting and automation to enhance hunting capabilities.
  • Leveraging SOAR (Security Orchestration, Automation, and Response) platforms.
  • Hands-on lab: Automating threat hunting processes using Python or SOAR tools.

Session 2: Advanced Threat Hunting Challenges

  • Addressing challenges like false positives and incomplete data.
  • Enhancing collaboration between CTI teams and SOCs.
  • Group exercise: Solving complex hunting challenges in a simulated environment.

Session 3: Capstone Project and Final Discussion

  • Designing a comprehensive threat hunting program for an organization.
  • Group presentations and feedback.
  • Closing discussion: Future trends and innovations in cyber threat hunting.

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

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Advanced Cyber Threat Hunting with Threat Intelligence Training Course

Course Name: Advanced Cyber Threat Hunting with Threat Intelligence Training Course

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