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NETWORKFORT — Detection Engineering & Threat Modeling

Name: NETWORKFORT — Detection Engineering &amp; Threat Modeling
Author: Baturi

What you'll learn

⚡ They will learn about the NetworkFort Detection Engineering & Threat Modeling
⚡ Understand how to design, build, and optimize detections using the full Detection Engineering lifecycle (Design → Improve) as a continuous process.
⚡ Gain hands-on knowledge of log sources (endpoint, network, cloud, identity) and learn how to select and structure data for effective threat detection.
⚡ Learn to evaluate and improve detection quality using key security metrics such as false positives, true positives, MTTD, and ATT&CK coverage mapping.

Requirements

❗ No prior Detection Engineering or Threat Modeling experience is required. However, learners should have a basic understanding of cybersecurity concepts, common attack techniques, and security operations. Familiarity with SOC environments, log analysis, or defensive security practices will be helpful but is not mandatory.

Description

Detection Engineering & Threat Modelingis a practical, industry-focused cybersecurity course designed to help you understand how modern organizations detect, analyze, and defend against advanced cyber threats.
As cyberattacks like ransomware, APTs, insider threats, and sophisticated intrusion techniques continue to evolve, traditional security methods are no longer enough. Today's security teams rely on proactive detection engineering, behavioral analytics, and structured threat modeling to identify attacks before they cause damage.
In this course, you'll learn how real-world Security Operations Centers (SOCs) operate how logs are collected and analyzed, how detection rules are built, and how security alerts are investigated using frameworks like MITRE ATT&CK. You will also explore how attackers think and operate, and how defenders can model and mitigate threats during system design.
You'll gain hands-on understanding of key concepts such as detection engineering lifecycle, SIEM technologies, log analysis, and security monitoring strategies. In parallel, you'll learn powerful threat modeling methodologies like STRIDE, PASTA, DREAD, and OCTAVE to identify risks and strengthen system security from the ground up.
This course combines theory with real-world application, helping you develop a strong defensive mindset and practical skills used by SOC analysts, threat hunters, and detection engineers in modern cybersecurity environments.
By the end of this course, you won't just understand cybersecurity you'll think like a defender, analyze like a SOC analyst, and design like a security engineer.

Who this course is for

⭐ SOC Analysts looking to improve their detection engineering skills. Detection Engineers who want to build and optimize effective detection strategies. Threat Hunters seeking a structured approach to threat detection and analysis. Cybersecurity professionals interested in threat modeling and security monitoring. Security Architects and Blue Team members responsible for improving detection coverage. Students and aspiring cybersecurity professionals who want to pursue a career in Detection Engineering. Whether you are new to detection engineering or looking to strengthen your existing skills, this course provides practical knowledge and industry-relevant concepts to help you better detect, investigate, and respond to cyber threats.

Homepage

https://www.udemy.com/course/detectionengineeringthreatmodeling

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