Gamifying machine learning for stronger security and AI models

Credit to Author: Eric Avena| Date: Thu, 08 Apr 2021 16:00:56 +0000

We are open sourcing the Python source code of a research toolkit we call CyberBattleSim, an experimental research project that investigates how autonomous agents operate in a simulated enterprise environment using high-level abstraction of computer networks and cybersecurity concepts.

The post Gamifying machine learning for stronger security and AI models appeared first on Microsoft Security.

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Deep learning: An explanation and a peek into the future

Credit to Author: Pieter Arntz| Date: Tue, 01 Dec 2020 15:36:57 +0000

Deep learning is a special field in machine learning that is showing new developments in many industries. We explain the concept and give some examples of the latest and greatest.

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The post Deep learning: An explanation and a peek into the future appeared first on Malwarebytes Labs.

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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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