Microsoft works with researchers to detect and protect against new RDP exploits

The new exploit attacks show that BlueKeep will be a threat as long as systems remain unpatched, credential hygiene is not achieved, and overall security posture is not kept in check.
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Experts on demand: Your direct line to Microsoft security insight, guidance, and expertise

Experts on demand is now generally available and gives customers direct access to real-life Microsoft threat analysts to help with their security investigations.
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IoT security will set innovation free: Azure Sphere general availability scheduled for February 2020

Azure Sphere will be generally available in February of 2020, marking our readiness to fulfill our security promise at scale.
The post IoT security will set innovation free: Azure Sphere general availability scheduled for February 2020 appeared first on Microsoft Security. READ MORE HERE…

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

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

A new fileless malware campaign we dubbed Nodersok delivers two very unusual LOLBins to turn infected machines into zombie proxies.
The post Bring your own LOLBin: Multi-stage, fileless Nodersok campaign delivers rare Node.js-based malware appeared first on Microsoft Security. READ MORE HERE…

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Deep learning rises: New methods for detecting malicious PowerShell

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.
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From unstructured data to actionable intelligence: Using machine learning for threat intelligence

Machine learning and natural language processing can automate the processing of unstructured text for insightful, actionable threat intelligence.
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