Update behavioral-blocking-containment.md

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Denise Vangel-MSFT 2020-05-20 13:56:38 -07:00
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@ -70,7 +70,7 @@ Behavior-based machine learning models in Microsoft Defender ATP caught and stop
- The first protection layer detected exploit behavior. Machine learning classifiers in the cloud correctly identified the threat as and immediately instructed the client device to block the attack.
- The second protection layer, which helped stop cases where the attack got past the first layer, detected process hollowing, stopped that process, and removed the corresponding files (such as Lokibot).
While the attack was detected and stopped, alerts, such as an initial access alert, were triggered and appeared in the Microsoft Defender Security Center:
While the attack was detected and stopped, alerts, such as an initial access alert, were triggered and appeared in the Microsoft Defender Security Center ([https://securitycenter.windows.com](https://securitycenter.windows.com)):
:::image type="content" source="images/behavblockcontain-initialaccessalert.png" alt-text="Initial access alert in the Microsoft Defender Security Center":::