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.
I am more than happy to release my new tool the GPT Intune Device Trouleshooter. Wouldn’t it be awesome if you have an assistant which you explain what you want to do in Intune an he do the job for you? This dream will now become reality with the GPT Intune Device Troubleshooter.
Modern Device Management 