cybersecurity – Page 56 – Computer Security Articles

August 13, 2019 admin

How Axonius integrates with Microsoft to help customers solve the cybersecurity asset management challenge

Credit to Author: Elizabeth Wolk| Date: Tue, 13 Aug 2019 16:00:38 +0000

Why is asset management—a problem that has persisted for decades—still an issue in 2019? Axonius is integrating with Microsoft to understand and solve this problem.

The post How Axonius integrates with Microsoft to help customers solve the cybersecurity asset management challenge appeared first on Microsoft Security .

Microsoft Security

August 8, 2019 admin

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 .

Microsoft Security

August 7, 2019 admin

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 .

Kaspersky Security

August 1, 2019 admin

Say yes to cyberimmunity and no to fear

Credit to Author: Alexander Moiseev| Date: Thu, 01 Aug 2019 14:30:21 +0000

To build a safer future, we need to stop fearing and start immunizing.

Microsoft Security

July 31, 2019 admin

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 .

Microsoft Security

July 30, 2019 admin

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 .

ScadaICS Schneider

July 26, 2019 admin

The ISA Global Cybersecurity Alliance: Heeding the Need for Collaboration; Acting as Agents of Change

Credit to Author: Andrew Kling| Date: Fri, 26 Jul 2019 14:45:40 +0000

In January 2018, on the heels of the well-publicized but often misunderstood Triton cyber-attack, Schneider Electric made a strategic decision. Two actually. First, because the attack methodology presented new and… Read more »

The post The ISA Global Cybersecurity Alliance: Heeding the Need for Collaboration; Acting as Agents of Change appeared first on Schneider Electric Blog.

Microsoft Security

July 25, 2019 admin

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 .