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Microsoft Secure

Microsoft AI competition explores the next evolution of predictive technologies in security

Predictive technologies are already effective at detecting and blocking malware at first sight. A new malware prediction competition on Kaggle will challenge the data science community to push these technologies even further—to stop malware before it is even seen. The Microsoft-sponsored competition calls for participants to predict if a device is likely to encounter malware...

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Protecting the protector: Hardening machine learning defenses against adversarial attacks

Harnessing the power of machine learning and artificial intelligence has enabled Windows Defender Advanced Threat Protection (Windows Defender ATP) next-generation protection to stop new malware attacks before they can get started – often within milliseconds. These predictive technologies are central to scaling protection and delivering effective threat prevention in the face of unrelenting attacker activity....

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Machine learning vs. social engineering

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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Enhancing Office 365 Advanced Threat Protection with detonation-based heuristics and machine learning

Email, coupled with reliable social engineering techniques, continues to be one of the primary entry points for credential phishing, targeted attacks, and commodity malware like ransomware and, increasingly in the last few months, cryptocurrency miners. Office 365 Advanced Threat Protection (ATP) uses a comprehensive and multi-layered solution to protect mailboxes, files, online storage, and applications...

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Why Windows Defender Antivirus is the most deployed in the enterprise

Statistics about the success and sophistication of malware can be daunting. The following figure is no different: Approximately 96% of all malware is polymorphic – meaning that it is only experienced by a single user and device before it is replaced with yet another malware variant. This is because in most cases malware is caught...

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How artificial intelligence stopped an Emotet outbreak

At 12:46 a.m. local time on February 3, a Windows 7 Pro customer in North Carolina became the first would-be victim of a new malware attack campaign for Trojan:Win32/Emotet. In the next 30 minutes, the campaign tried to attack over a thousand potential victims, all of whom were instantly and automatically protected by Windows Defender...

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