Operational resilience begins with your commitment to and investment in cyber resilience

Credit to Author: Todd VanderArk| Date: Tue, 17 Sep 2019 16:00:37 +0000

Operational resilience cannot be achieved without a true commitment to and investment in cyber resilience.

The post Operational resilience begins with your commitment to and investment in cyber resilience appeared first on Microsoft Security.

Read more

Deep learning rises: New methods for detecting malicious PowerShell

Credit to Author: Eric Avena| Date: Tue, 03 Sep 2019 16:00:03 +0000

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

Gartner names Microsoft a Leader in 2019 Endpoint Protection Platforms Magic Quadrant

Credit to Author: Eric Avena| Date: Fri, 23 Aug 2019 16:00:40 +0000

Gartner named Microsoft a Leader in the 2019 Gartner Magic Quadrant for Endpoint Protection Platforms positioned highest in execution

The post Gartner names Microsoft a Leader in 2019 Endpoint Protection Platforms Magic Quadrant appeared first on Microsoft Security.

Read more

From unstructured data to actionable intelligence: Using machine learning for threat intelligence

Credit to Author: Eric Avena| Date: Thu, 08 Aug 2019 16:30:12 +0000

Machine learning and natural language processing can automate the processing of unstructured text for insightful, actionable threat intelligence.

The post From unstructured data to actionable intelligence: Using machine learning for threat intelligence appeared first on Microsoft Security.

Read more

A case study in industry collaboration: Poisoned RDP vulnerability disclosure and response

Credit to Author: Eric Avena| Date: Wed, 07 Aug 2019 23:50:25 +0000

Through a cross-company, cross-continent collaboration, we discovered a vulnerability, secured customers, and developed fix, all while learning important lessons that we can share with the industry.

The post A case study in industry collaboration: Poisoned RDP vulnerability disclosure and response appeared first on Microsoft Security.

Read more

How Windows Defender Antivirus integrates hardware-based system integrity for informed, extensive endpoint protection

Credit to Author: Eric Avena| Date: Wed, 31 Jul 2019 16:30:35 +0000

The deep integration of Windows Defender Antivirus with hardware-based isolation capabilities allows the detection of artifacts of attacks that tamper with kernel-mode agents at the hypervisor level.

The post How Windows Defender Antivirus integrates hardware-based system integrity for informed, extensive endpoint protection appeared first on Microsoft Security.

Read more

Dismantling a fileless campaign: Microsoft Defender ATP’s Antivirus exposes Astaroth attack

Credit to Author: Eric Avena| Date: Mon, 08 Jul 2019 16:00:51 +0000

Advanced technologies in Microsoft Defender ATP’s Antivirus exposed and defeated a widespread fileless campaign that completely “lived off the land” throughout a complex attack chain that run the info-stealing backdoor Astaroth directly in memory

The post Dismantling a fileless campaign: Microsoft Defender ATP’s Antivirus exposes Astaroth attack appeared first on Microsoft Security.

Read more

New machine learning model sifts through the good to unearth the bad in evasive malware

Credit to Author: Eric Avena| Date: Thu, 25 Jul 2019 16:30:55 +0000

Most machine learning models are trained on a mix of malicious and clean features. Attackers routinely try to throw these models off balance by stuffing clean features into malware. Monotonic models are resistant against adversarial attacks because they are trained differently: they only look for malicious features. The magic is this: Attackers can’t evade a monotonic model by adding clean features. To evade a monotonic model, an attacker would have to remove malicious features.

The post New machine learning model sifts through the good to unearth the bad in evasive malware appeared first on Microsoft Security.

Read more