Threat protection

Microsoft Secure

Data science for cybersecurity: A probabilistic time series model for detecting RDP inbound brute force attacks

Microsoft Defender ATP data scientists and threat hunters collaborate to use a data science-driven approach to detecting RDP brute force attacks to protect customers against real-world threats.
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Microsoft Secure

Rethinking cyber learning—consider gamification

Gamified cybersecurity solutions offer immense promise by giving users practical, hands-on opportunities to learn by doing. Microsoft and Circadence are partnering to deliver Azure-hosted cyber range learning solutions for beginners up to advanced SecOps pros. Gamification is an increasingly important way for enterprises to attract tomorrow’s cyber pro talent and create tailored learning and more defined career paths and progression.
The post Rethinking cyber learning—consider gamification appeared first on Microsoft Security. READ MORE HERE…

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Microsoft Secure

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

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