Advanced Security Detection Automation

Day 1: Foundations of Automated Security and Detection Engineering

Introduction to Security Automation

• Understanding the significance of automation in modern cybersecurity.
• Overview of common challenges in detection engineering.
• Core principles and tools in security automation.

Building Detection Rules

• Key elements of effective detection rules.
• Best practices for rule design and maintenance.
• Crafting scalable and adaptable detection frameworks.

Hands-On Lab:

• Creating and implementing basic detection rules using industry-standard tools.

Learning Objectives:

1. Comprehend the importance of automation in improving security operations.
2. Gain foundational knowledge of detection engineering practices.
3. Develop simple yet effective detection rules.

Day 2: Advanced Automation Techniques

Detection Engineering Processes

• Enhancing rule accuracy and reducing false positives.
• Leveraging analytics to refine detection mechanisms.

Automation Frameworks and Scripting

• Deep dive into security orchestration tools.
• Writing custom scripts to automate repetitive tasks.

Hands-On Lab:

• Deploying scripts to automate detection workflows.
• Testing and validating rule efficacy with real-world scenarios.

Learning Objectives:

1. Enhance proficiency in designing and refining detection rules.
2. Explore advanced automation tools and their applications.
3. Apply scripting techniques to streamline security operations.

Day 3: Integrating and Operationalizing Automated Security

Automating Incident Response

• Overview of automated incident handling processes.
• Connecting detection rules with response frameworks.

Integrating Tools Across the Stack

• Building a cohesive system with multiple security tools.
• Ensuring seamless communication between platforms.

Hands-On Lab:

• Integrating automated detection with response tools.
• Evaluating the performance of the entire automated workflow.

Learning Objectives:

1. Develop strategies for integrating automated systems into existing environments.
2. Learn techniques for operationalizing automation across tools.
3. Build end-to-end workflows that connect detection to response.

Instructor Kit

(PPTX/PDF of Slides + Optional Instructor Notes)
Comprehensive slide deck with detailed content covering all modules, plus optional instructor notes to enhance teaching effectiveness.

Student Kit / Handout

(with Free Branding)
Professionally designed handouts for students, including all essential course information and customizable branding options for your organization.

Course Agenda / Outline

Detailed day-by-day course agenda and outline, ensuring smooth course delivery and a structured learning experience for students.

Study Guide

A concise guide summarizing key concepts and topics covered in the course, perfect for post-course review and exam preparation.

FAQ

Answers to commonly asked questions about the course content, delivery, and labs to support instructors and students.

Briefing Doc

A high-level document summarizing the course objectives, target audience, and key learning outcomes, ideal for internal use and marketing.

Sales Enablement Kit for IT Training Sales Engineers

(Additional Fee)
Exclusive toolkit designed for IT training sales teams, including pitch decks, objection handling, and ROI documentation to support course sales.

Course AI GPT

(Course Assistant GPT so students can talk to the course materials!)
A cutting-edge AI-driven assistant that allows students to interact with course content, ask questions, and receive instant feedback.

Optional Podcast

(of the entire course or for each individual module)
Engaging audio content covering the entire course or individual modules, perfect for on-the-go learning or reinforcement.

Lab Guide

(Lab Environments are additional and can be found at CourseLabs.io)
Step-by-step lab guide to support hands-on learning, with lab environments available separately at CourseLabs.io.

Lab Files

(If you choose to host your own lab environment)
All necessary files and instructions for setting up and running labs in your own environment, offering flexibility in deployment.

Operating Systems: Ubuntu Desktop LTS 22.04+, Windows 10+, macOS 13+

Cloud Platforms: AWS, Cloudflare WAF (latest stable versions)

Development Tools: VS Code, Git CLI, Terraform CLI, GitHub Actions (latest stable versions)

Detection/Monitoring: Datadog SIEM, Splunk Enterprise, Wazuh EDR, CrowdStrike Falcon EDR (latest versions)

AI/ML Tools: SOC Prime Uncoder AI, CodeRabbit AI, Google Colab, Poe.com AI (latest versions)

Security Tools: Cloud Custodian, Trend Micro Cloud One, PFSense CE (latest versions)

Languages: Python 3.9+

Course Objectives:
This course is designed to provide participants with the knowledge and hands-on skills required to master automated security detection engineering. The curriculum focuses on:

• Understanding detection lifecycle concepts and frameworks.
• Implementing automation strategies to streamline detection processes.
• Leveraging industry-leading tools for security monitoring and response.
• Developing, deploying, and managing detection systems in high-tech environments.

Learning Objectives:
By the end of the course, participants will:

• Understand key principles of automated security detection.
• Gain hands-on experience in deploying and managing detection systems.
• Learn to apply advanced threat detection techniques in real-world scenarios.
• Build skills in using tools like GitHub, Terraform, Datadog SIEM, and CrowdStrike Falcon EDR.

Who This Course Is For:
This course is ideal for:

• Security engineers and analysts looking to enhance their automation skills.
• IT professionals tasked with managing security operations.
• Developers and DevOps teams working with detection system integrations.
• Anyone seeking to advance their knowledge in high-tech security detection engineering.

Course Structure:

• 50% Lecture: Gain in-depth theoretical understanding of security detection principles.
• 50% Hands-On Labs: Apply learned concepts in practical, real-world scenarios.

Customization Options:
This courseware is highly flexible and can be tailored to meet the needs of your organization:

• Offered as a 1-day, 2-day, 3-day, 4-day, or 5-day course.
• Cost: $40/student per day for instructor-led training.

Why Choose This Course?

• Empower your team with cutting-edge skills in automated security detection.
• Flexible course durations to suit diverse organizational needs.
• Hands-on labs ensure real-world applicability and retention of skills.

Take the next step in delivering exceptional training experiences—customize this course to fit your team’s needs and unlock their potential in high-tech security detection engineering.