How to Use Machine Learning in Microsoft Sentinel to Enhance Your Cybersecurity

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  • Опубліковано 12 лис 2024

КОМЕНТАРІ • 5

  • @snoopdoggywuf
    @snoopdoggywuf 19 днів тому

    Just brilliant - exactly what I have been looking for. Dank je wel.

  • @Gregwilson3468
    @Gregwilson3468 Рік тому

    Another great video.

  • @wearewhoweare6602
    @wearewhoweare6602 11 місяців тому

    Nice... Any Vid on Linux Servers? Most people focus on windows servers

  • @traveloguer5292
    @traveloguer5292 Рік тому

    Hi , do u want to say that sentinal anomalies detection is not powerful? Can we use high level machine learning model and integrate into it

    • @AzureVlog
      @AzureVlog  Рік тому +1

      Hi! I didn't mean to imply that Sentinel anomalies detection is not powerful - in fact, it's a very powerful feature. In this video, I just used anomaly detection on custom data as an example. The whole use case I show in this video is just to demonstrate how all components work together and how you could create your own ML model. If you have a specific use case that you want to cover and the existing built-in features are not enough, that's where you could build your own model. But in most cases, the built-in features should suffice. I hope that helps!