Machine learning vs. social engineering

Credit to Author: Windows Defender ATP| Date: Thu, 07 Jun 2018 13:00:56 +0000

Machine learning is a key driver in the constant evolution of security technologies at Microsoft. Machine learning allows Microsoft 365 to scale next-gen protection capabilities and enhance cloud-based, real-time blocking of new and unknown threats. Just in the last few months, machine learning has helped us to protect hundreds of thousands of customers against ransomware,

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Machine learning vs. social engineering

Credit to Author: Windows Defender ATP| Date: Thu, 07 Jun 2018 13:00:56 +0000

Machine learning is a key driver in the constant evolution of security technologies at Microsoft. Machine learning allows Microsoft 365 to scale next-gen protection capabilities and enhance cloud-based, real-time blocking of new and unknown threats. Just in the last few months, machine learning has helped us to protect hundreds of thousands of customers against ransomware,

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Detonating a bad rabbit: Windows Defender Antivirus and layered machine learning defenses

Credit to Author: Windows Defender ATP| Date: Mon, 11 Dec 2017 13:58:06 +0000

Windows Defender Antivirus uses a layered approach to protection: tiers of advanced automation and machine learning models evaluate files in order to reach a verdict on suspected malware. While Windows Defender AV detects a vast majority of new malware files at first sight, we always strive to further close the gap between malware release and

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Windows Defender ATP machine learning and AMSI: Unearthing script-based attacks that ‘live off the land’

Credit to Author: Windows Defender ATP| Date: Mon, 04 Dec 2017 14:00:07 +0000

Scripts are becoming the weapon of choice of sophisticated activity groups responsible for targeted attacks as well as malware authors who indiscriminately deploy commodity threats. Scripting engines such as JavaScript, VBScript, and PowerShell offer tremendous benefits to attackers. They run through legitimate processes and are perfect tools for living off the landstaying away from the

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