Cyberattacks against machine learning systems are more common than you think

Credit to Author: Teri Seals-Dormer| Date: Thu, 22 Oct 2020 16:00:19 +0000

Machine learning (ML) is making incredible transformations in critical areas such as finance, healthcare, and defense, impacting nearly every aspect of our lives. Many businesses, eager to capitalize on advancements in ML, have not scrutinized the security of their ML systems. Today, along with MITRE, and contributions from 11 organizations including IBM, NVIDIA, Bosch, Microsoft…

The post Cyberattacks against machine learning systems are more common than you think appeared first on Microsoft Security.

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How AI Engines Boost Grid Energy Consumption Forecasting Accuracy

Credit to Author: Olivier Cognet| Date: Thu, 01 Oct 2020 17:24:43 +0000

In recent years, patterns of energy production and consumption have changed radically. New variables such as renewable power generation, community microgrids, and rapidly changing energy prices make grids infinitely more… Read more »

The post How AI Engines Boost Grid Energy Consumption Forecasting Accuracy appeared first on Schneider Electric Blog.

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Stopping Active Directory attacks and other post-exploitation behavior with AMSI and machine learning

Credit to Author: Eric Avena| Date: Thu, 27 Aug 2020 16:00:27 +0000

Microsoft Defender ATP leverages AMSI’s visibility into scripts and harnesses the power of machine learning to detect and stop post-exploitation activities that largely rely on scripts.

The post Stopping Active Directory attacks and other post-exploitation behavior with AMSI and machine learning appeared first on Microsoft Security.

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Seeing the big picture: Deep learning-based fusion of behavior signals for threat detection

Credit to Author: Eric Avena| Date: Thu, 23 Jul 2020 16:00:53 +0000

Learn how we’re using deep learning to build a powerful, high-precision classification model for long sequences of wide-ranging signals occurring at different times.

The post Seeing the big picture: Deep learning-based fusion of behavior signals for threat detection appeared first on Microsoft Security.

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3 Tiers of Power Analytics: Insights You Need to Ensure Resilience and Efficiency

Credit to Author: Dan Wall| Date: Tue, 21 Jul 2020 10:15:15 +0000

In this post, we will look at where power analytic capabilities are used – from the device to the edge to the cloud – and examples of applications. This is… Read more »

The post 3 Tiers of Power Analytics: Insights You Need to Ensure Resilience and Efficiency appeared first on Schneider Electric Blog.

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A zero-day guide for 2020: Recent attacks and advanced preventive techniques

Credit to Author: Ilai Bavati| Date: Tue, 23 Jun 2020 15:00:00 +0000

Zero-day vulnerabilities—and their potential, related attacks—can drive any security team mad. Here’s how you can bulk up your defenses.

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The post A zero-day guide for 2020: Recent attacks and advanced preventive techniques appeared first on Malwarebytes Labs.

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Microsoft researchers work with Intel Labs to explore new deep learning approaches for malware classification

Credit to Author: Eric Avena| Date: Fri, 08 May 2020 18:30:34 +0000

Researchers from Microsoft Threat Protection Intelligence Team and Intel Labs collaborated to study the application of deep transfer learning technique from computer vision to static malware classification.

The post Microsoft researchers work with Intel Labs to explore new deep learning approaches for malware classification appeared first on Microsoft Security.

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