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Announcing #WMUG_NL Tuesdays Webinar 2 featuring Michael van Horenbeeck

Due to the COVID-19 crisis, we (the Windows Management User Group Netherlands) were forced to move our activities to virtual events. We started this event on Tuesday April 21 with a session about how to maximize Windows 10 and ConfigMgr network performance hosted by Johan Arwidmark. If you missed this webinar, no problem since we have a recording available on our YouTube channel for your viewing pleasure. You can find the recording here: WMUG NL Tuesdays webinar featuring Johan Arwidmark.

For Tuesday May 5th we have another great speaker lined up. This time Michael van Horenbeeck will presented on the topic: “Microsoft 365 Security in the real world”.

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Office 365 Advanced Threat Protection (ATP) deep dive

Around 5 years ago (April 2015) Microsoft announced Exchange Online Advanced Threat Protection (ATP), which was renamed to Office 365 Advanced Threat Protection around a year later.

By using Office 365 Advanced Threat Protection you can add additional protection to the email filtering service available in Office 365 called Exchange Online Protection (EOP).

In this article, I will explain the functionality of Office 365 Advanced Threat Protection, and I will share the lessons learned while implementing the solution at several of my customers. I’ll also try to include as much references to other articles or blogposts as possible hopefully providing you with enough information for you to start implementing Office 365 ATP as well.

This article covers the following topics:

Disclaimer: This post reflects the status of Office 365 Advanced Threat Protection as of April 28 2020. Functionality may change, even right after this post has been published.

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Azure AD Identity Protection deep dive

One of the advantages of Microsoft having many customers using its services is that Microsoft can leverage data from those customers and apply some real fancy Machine Learning on that data, coming from Azure AD, Microsoft Accounts and even Xbox services.

Based on all that data the Machine Learning capabilities are able to identify identity risks. Based on the risk, automatic investigation, remediation and sharing of that data with other solutions able to leverage it is possible. The outcome of risk is expressed as either High, Medium, Low or No Risk. This outcome can later be used to define policies.

By leveraging Azure AD Identity Protection you are able to use the signals provided by Microsoft and trigger “actions” – the signals can also be leveraged in your conditional access policies.

This article covers the following topics:

Disclaimer: This post reflects the status of Azure AD Identity Protection as of April 7th 2020. Functionality may change, even right after this post has been published.

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