Advanced Threat Hunting and Detection Engineering in the Enterprise

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Course Overview

Learn how to build high-order behavioral detections for Windows and Entra ID attack activity that remain resilient to evasion and can be adapted across tools, clouds, and enterprise environments.
  • Level: Advanced
  • Study time: 32 hours
  • Lifetime course access
  • 1-year lab access
  • Certificate of completion
  • ~20 advanced behavioral detections
  • Realistic labs with false positives and full attack chain executions under EDR evasion conditions
  • Detections for AiTM phishing, rogue device registration, device code phishing, and token theft
  • Vendor-agnostic detection logic transferable across platforms
  • Designed for individuals and teams building or improving detection capability without heavy resource overhead

Reviewed by Leading Offensive and Defensive Security Practitioners

The course was excellent and highly practical. It went beyond queries by explaining the tradecraft, tuning, and operational thinking needed to build resilient coverage in real environments.
Dominic Chell
Director at MDSec | Creator of Nighthawk C2
Read the full review

A Course Built for Serious Defenders

This course is designed for security teams and professionals who want to move beyond conventional detections and develop a deeper, more durable approach to detection engineering. You will learn how to build high-order behavioral detections that identify meaningful adversary activity across Windows and Entra ID environments, while also gaining insight into how modern attackers operate in real enterprise scenarios.

For Teams and Organizations

This course is also designed for organizations that want to build or strengthen their threat hunting and detection engineering capabilities without building everything from scratch or investing heavily in additional tools or resources.

Teams can use the course to establish a practical detection engineering foundation, accelerate internal capability building, and adopt higher-order behavioral detection methods that work across tools and environments when the right telemetry is available.

Ideal for organizations that want to:
  • Level up their detection engineering program
  • Build a practical threat hunting and detection engineering function without excessive overhead or cost
  • Build durable detections without relying only on vendor-provided rules
  • Reduce trial and error by learning proven detection design patterns
  • Improve coverage using existing telemetry and tooling where possible
  • Teach analysts how to reason through false positives, gaps, and compensating detections

What You’ll Gain

  • Learn to develop around 20 advanced behavioral detections covering a wide range of attack techniques
  • Understand the detection logic step by step, not just the final query or rule
  • Understand how adversaries operate through command-and-control infrastructure using C2 implants and beacons
  • Learn how to detect AiTM activity, Entra ID token theft, and stolen token abuse from compromised machines
  • Build a foundation you can apply across tools, products, and environments

What Makes This Course Exceptional

  • Focused on resilient detections designed to withstand common evasion techniques
  • Built around vendor-agnostic principles that can be transferred to other platforms
  • Includes a single behavioral detection approach that can help cover both stolen token abuse and adversary-in-the-middle attacks
  • Shares a sample design showing how this detection logic can be implemented across cloud environments, regardless of SIEM or XDR platform
  • Structured to teach enduring detection logic rather than product-specific shortcuts

Designed for Real Enterprise Conditions

  • Hands-on labs use Microsoft Defender, Entra ID, and Windows telemetry as the primary learning environment
  • Full attack chains and adversary behaviors are emulated in realistic scenarios using C2 frameworks
  • More than 90% of the scenarios include AMSI and ETW patching to reduce or prevent certain telemetry from being generated, helping you develop detections that remain resilient under evasion conditions
  • Labs include real false positives you are likely to encounter in production, along with guidance for interpreting and handling them
  • Scenarios are designed to help you understand not only what can be detected, but where visibility gaps exist

Learn to Identify and Close Detection Gaps

This course goes beyond writing detections. Throughout the training, you will also learn where important detection gaps can emerge and how to address them with compensating detections. 

Beyond a Single Ecosystem

The detection methods taught in this course are designed to extend beyond Microsoft environments. With the right telemetry, the same principles can be adapted to Linux, macOS, Azure, AWS, and GCP.

Future Course Updates and Pricing

The course will continue to evolve after launch. Additional modules are planned for late 2026 or Q1 2027, and the course price is expected to increase as new content is added.

Course Lessons

What our learners say

I had the pleasure of taking a sneak peek into the  "Advanced Threat Hunting and Detection Engineering in the Enterprise," and it did not disappoint.

Like Mehmet's other courses, it's hands-on with great labs to try out your newly learned skills and covers a lot of ground. Instead of focusing on one detection for a certain attack, the course teaches you to detect anomalies in behavior or break the attack down to the most general behavior detection approach, making it hard to bypass for attackers.

In my opinion, even seasoned detection engineers will take something out of this course.

Fabian Bader | Microsoft Security MVP

The Advanced Threat Hunting & Detection Engineering Enterprise training was excellent and highly practical.

What stood out most was the quality of the detections. The course went beyond queries by explaining the tradecraft, tuning, and operational thinking needed to build resilient coverage in real environments, even when attackers tamper with visibility sources like AMSI or ETW.

I especially appreciated the focus on realistic attacker behaviours and common tradecraft, rather than on exotic scenarios or isolated individual TTPs. The coverage of areas such as TCP and SMB P2P beaconing was particularly valuable, with clear guidance on how to detect these behaviours reliably and how to reason about coverage across the wider attack chain.

Overall, this is a very strong course for anyone looking to improve their threat hunting and detection engineering capability in a practical, enterprise-focused way.

Dominic Chell, Director at MDSec | Creator of Nighthawk C2

I’ve been a fan of the Blu Raven training for some time and would recommend it to threat hunters, analysts, and engineers alike.

The new advanced detection engineering module is a great run-through of adversarial tradecraft from a detection-engineering perspective. In some cases, it includes some of the best general explainers of these concepts that I have seen.

I’m really looking forward to whatever content comes next from Mehmet and the team.

Nicholas Calvert, Director of SOC and Engineering at Cybanetix

As a detection engineer with offensive security experience, I tested the course's detection queries against my custom EDR bypasses that successfully evade major commercial solutions, and they still caught the activity. This course perfectly bridges offensive and defensive perspectives.


The behavioral approach moves beyond fragile IOCs and signature-based detection, focusing instead on the underlying adversary behaviors that are much harder to evade. The clear explanations make complex detection engineering concepts immediately actionable, whether you're building hunt queries from scratch or enhancing existing detection logic.


For fellow detection engineers looking to build resilient, evasion-resistant detection programs, this is essential learning. The techniques taught here will help you catch threats that your EDR might miss.

Paweł Mazur | Detection Engineer, Offensive Developer (ODPC)

Yet another great course when it comes to Threat Hunting and Detection Engineering. It's everything I love about courses: good explanation, actual examples, hands-on labs, access to great telemetry to dig in and lots, LOTS of KQL.

The course goes further than techniques since it focuses more on the behavior, which covers many techniques at once. I'm the kind of person who learns more by testing what I learn in real-world scenarios and environments as I follow along. That's why I can say that some of the content you get out of this course, namely the Entra ID section, actually flagged true positives in real environments and therefore, that what you're going to learn is spot on. In many of the environments I tested, there was even a mix of either no results returned, making the queries viable as detection, or a few results, which could then be reduced with additional filtering shared as guidance in the course.


If you want to really up your Detection Engineering and Threat Hunting game, with concepts that can be applied in real environments and situations, then this course is for you.

Yoan Schinck, Cyber Response Manager | DFIR & Threat Hunting at KPMG-Egyde

This is a solid course with dense and clear material. The topics are highly relevant for current threats and tackle the familiar challenges of high volumes of benign/false positives and blind spots, with a data science approach to correlation rather than hyper-specific queries that age out fast.

The use of building blocks to chain behaviours together was impressive, and the importance of layering to cover different angles is a strong part of this course. The labs and exercises allow you to learn how to apply the concepts in a practical way, ensuring the knowledge is fully grasped and can be applied in your environment. I was able to immediately apply what I’d learned and see the value straight away.


As with the previous Blu Raven course I completed, Advanced Hands-On KQL for Threat Hunting and Detection Engineering from Scratch, I will be referring to this course regularly to assist with my day-to-day detection engineering development.

Jacqueline Morrison, ASAPCLOUD

Frequently asked questions

Who should take the course?

This course is designed for defenders, detection engineers, threat hunters, incident responders, red teamers, and security teams that want to understand adversary behavior and turn that understanding into practical, resilient detection logic.

It is also a strong fit for organizations that want to build or strengthen a threat hunting and detection engineering function without building everything from scratch or investing heavily in additional tools and resources.

It is especially useful for:
  • Organizations starting or maturing a detection engineering program without excessive overhead or cost
  • Detection engineers who want to build behavioral detections using KQL or other languages
  • Threat hunters who want to detect C2, post-exploitation, discovery, lateral movement, and cloud identity attacks
  • SOC analysts and incident responders who want to improve advanced investigation and hunting skills
  • Red teamers who want to better understand how their tradecraft appears in telemetry and how it is detected
  • Security professionals who already know KQL and want to apply it to realistic adversary simulations

Are there any prerequisites?

Yes. While the detection logic is explained step by step so it can be adapted to other tools and query languages, working knowledge of KQL is required, especially for the labs. 

The course makes heavy use of:
  • parsing and extracting data
  • externaldata operator
  • joins
  • aggregation functions
  • summarization
  • time-window correlation
  • working with dynamic fields


The course does not teach KQL. If you are new to KQL, you may consider taking the Hands-On KQL for Security Analysts course or use other resources.

Does the course contain video content?

No. The course is text-based and supported by screenshots, explanations, labs, and walkthroughs.
This format makes it easier to follow the reasoning, review queries, and revisit specific sections when building or tuning detections.

What are the lab requirements?

No additional software or hardware is required.
You will access the lab environment through a web browser. The lab environment is an Azure Data Explorer instance where you will analyze logs from simulated enterprise attack scenarios.

Can I get a certificate of completion?

Yes. You will receive a certificate of completion after finishing the course.

What is Lemon Squeezy?

Lemon Squeezy is a Merchant of Record that processes payments and handles taxes. You may see its name on your card statements. 

Created by

Mehmet Ergene

Mehmet brings over 15 years of experience in cybersecurity, with a unique blend of expertise in KQL, threat hunting, detection engineering, and data science to his courses to help others advance their skills. Recognized four times as a Microsoft Security MVP, he is renowned for adapting the RITA beacon analyzer to KQL and for his insightful presentations at key conferences like the SANS DFIR Summit.