Endpoint security

MicrosoftSecurity

In hot pursuit of elusive threats: AI-driven behavior-based blocking stops attacks in their tracks

Credit to Author: Eric Avena| Date: Tue, 08 Oct 2019 15:00:11 +0000

Two new machine learning protection features within the behavioral blocking and containment capabilities in Microsoft Defender ATP specialize in detecting threats by analyzing behavior, adding new layers of protection after an attack has started running.

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MicrosoftSecurity

Bring your own LOLBin: Multi-stage, fileless Nodersok campaign delivers rare Node.js-based malware

Credit to Author: Eric Avena| Date: Thu, 26 Sep 2019 17:34:41 +0000

We’ve discussed the challenges that fileless threats pose in security, and how Microsoft Defender Advanced Threat Protection (Microsoft Defender ATP) employs advanced strategies to defeat these sophisticated threats. Part of the slyness of fileless malware is their use of living-off-the-land techniques, which refer to the abuse of legitimate tools, also called living-off-the-land binaries (LOLBins), that…

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MicrosoftSecurity

Deep learning rises: New methods for detecting malicious PowerShell

Credit to Author: Eric Avena| Date: Tue, 03 Sep 2019 16:00:03 +0000

We adopted a deep learning technique that was initially developed for natural language processing and applied to expand Microsoft Defender ATP’s coverage of detecting malicious PowerShell scripts, which continue to be a critical attack vector.

The post Deep learning rises: New methods for detecting malicious PowerShell appeared first on Microsoft Security.

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