This was an no brainer for me that I will write a blog about Microsoft Copilot for Security. You know I like AI and I like Intune. What is better if I can blog in one post about both. I was already part of the closed preview, and I a very big fan of this product and the potential behind. In this blog post I will write about everything what you have to know and how you can start.
In the last post I explained how you can build a CoPilot using the Azure OpenAI Studio in this blog post we will do the same with the CoPilot Studio. Here we will also utilize the Azure OpenAI Service. Lets have an quick look into this topic as well:
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The simplest approach to deploying a chatbot is to do so without any coding. This is precisely what I aim to demonstrate. Such a chatbot can be tailored to utilize your custom documentation, knowledge articles, or any other resources you wish to integrate. This method simplifies the process, making it accessible even if you’re not well-versed in programming. By leveraging existing documents and knowledge bases, you can create a chatbot that is both informative and aligned with your specific needs and content.
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Remediations play a pivotal role in effective client management, allowing organizations to proactively identify and resolve end-user issues. Additionally, they serve as a valuable tool for enforcing specific settings or configurations that may not be natively supported in Microsoft Intune. However, the process of crafting these scripts can often be intricate and time-consuming.
Imagine a solution where you can simply describe your desired configurations, and a tool generates the necessary scripts for you. If you find this idea appealing and are keen to explore such a solution, this blog is tailored to meet your exact needs.
In this blog post I want to deep dive with you how LLMs and CoPilots work, want to give an explanations into the most important aspects and show you some important architecture aspects and concepts. We will not build an own Copilot but I will share also some reference architectures and a tool I created to answer your question with informations of you own Intune tenant. Let me know if I should create also an second blog post to go with you step by step through the process of implementing an own bot which use your own data and a LLM model to help you in your daily business working with Intune.
As you know I like everything what is related to data science and Intune. In this blog I will show you a solution how you can get some insights about your Intune environment you did not have bevor.
You know there are regular changes and updates on the Intune Management Extension (IME). Sometimes it can be the cause of an issues or it is also interesting to see what was changed. To detect this changes I wrote an script which notifies you in case of an change and will let you know what was changes.
In this blog post we want to have an closer look into an way how you can collect data from an client system to monitor them. With endpoint analytics Microsoft provides an very powerful way to analyse clients, remediate potential issues or also detect anomalies in the field. If you are interested in unaggregated and more detailed data to build custom solutions than the log analytics management agent is the right solution for you. This is the first part of an small series with two parts. In this part we will check how this service works and how to setup und in th eother part how you can work with the data.
Intune provides a lot of data that can be exported via interfaces. But wouldn’t it be cool if you could have everything from the data export to the powerbi dashboard in one place in a portal and additionally query the data Graph provides you with via SQL to build complex querys. That’s exactly what Microsoft Fabric delivers. In this blog we would like to take a closer look at this new platform.
I have already written a blog about how to send a message using Logic apps to generate a regular device report. After a presentation about automation with Intune and Graph I got the good feedback if I can do a variant with Co Managed devices. So I decided to write a V2 of this blog and also update the authentication with Managed Identity. If you are interested in more blogs around the topic of logic apps, let me know and I will be happy to do a deep dive on logic apps.
Modern Device Management 