Anomaly detection - Jannik Reinhard

Intune Suite Part 3: Advanced Endpoint Analytics

2. April 202322. June 2026 jannikreinhard1 Comment

In the third part of this Intune Suite series, I want to give you more insights into advanced endpoint analytics. Advanced Endpoint Analytics brings machine learning and anomaly detection directly into Intune, and I am really happy that Intune has gone in this direction. I blogged about these topics a few months ago, discussing how to analyze Intune data with the help of cognitive service anomaly detection. It’s awesome that Intune now includes this out-of-the-box in the tool. Unfortunately, I can’t test this feature in my own tenant because Endpoint analytics requires at least 10 devices, and this is not possible in my test tenant. However, I will cover all elements of the feature in this blog.

Source: https://learn.microsoft.com/en-us/intune/advanced-analytics/

Detect anomalies in your Intune environment with Azure Cognitive Services – Part 3 Bluescreen of death detection

3. August 202222. June 2026 jannikreinhard1 Comment

Welcome to the third part of my series in which I describe ways to get proactive notifications when something in your environment has a problem / error. So that this monitoring does not work with static values, I use Azure Cognitive Services (now Azure AI Services) to detect anomalies via machine learning. In this blog we will take a look at the Endpoint Analytics Startup performance bluescreen detection. The goal is to detect anomalies automatically, so we are notified when an unusual number of devices report a blue screen or problem during detection. You can read more about anomaly detection on Microsoft Learn.

Detect anomalies in your Intune environment with Azure Cognitive Services - Bluescreen of death

Detect Intune App Installation Anomalies with Azure AI

24. July 202222. June 2026 jannikreinhard3 Comments

In this guide I will show you how to Detect Intune App Installation Anomalies with Azure AI. In one of my previous blog posts I explained how you can use Azure Automation and Azure Cognitive Services (now Azure AI Services) to monitor the compliance state of your environment and notify you if there are major deviations. In this part of the series I want to apply the same approach to application deployment, so you can Detect Intune App Installation Anomalies and get notified automatically if the installation of an application suddenly fails abnormally often. You can read more about the underlying service in the official Microsoft Learn documentation.

Azure anomaly detector monitoring Intune application installation failures

Detect anomalies in your Intune environment with Azure Cognitive Services – Part 1 Device Compliance

12. July 202222. June 2026 jannikreinhard5 Comments

It is hard to keep track of your Intune environment. In this guide you will learn how to detect anomalies in your Intune environment with the help of log events, where you can build static monitoring via Azure automation or logic apps. This is possible if you are only interested in a specific event or if you can express this via static code. However, if you want to detect anomalies in your Intune environment, e.g. a strong increase or decrease of the device count or how many devices are compliant, it is difficult to implement this without machine learning and to set static values. In this blog series I would like to show you how you can use Azure Cognitive Services (now Azure AI Services) to build a monitoring system and send you messages based on abnormal deviations. So let’s get started.

Microsoft Intune & AI Insights

Anomaly detection — Articles by Jannik Reinhard

Intune Suite Part 3: Advanced Endpoint Analytics

Detect anomalies in your Intune environment with Azure Cognitive Services – Part 3 Bluescreen of death detection

Detect Intune App Installation Anomalies with Azure AI

Detect anomalies in your Intune environment with Azure Cognitive Services – Part 1 Device Compliance