Microsoft Defender Advanced Threat Protection – Page 3

Bring your own LOLBin: Multi-stage, fileless Nodersok campaign delivers rare Node.js-based malware

September 26, 2019 admin AI and machine learning, cybersecurity, Endpoint security, fileless, Microsoft Defender Advanced Threat Protection, Microsoft security intelligence, nodersok, Security Intelligence

Credit to Author: Eric Avena| Date: Thu, 26 Sep 2019 17:34:41 +0000

We’ve discussed the challenges that fileless threats pose in security, and how Microsoft Defender Advanced Threat Protection (Microsoft Defender ATP) employs advanced strategies to defeat these sophisticated threats. Part of the slyness of fileless malware is their use of living-off-the-land techniques, which refer to the abuse of legitimate tools, also called living-off-the-land binaries (LOLBins), that…

The post Bring your own LOLBin: Multi-stage, fileless Nodersok campaign delivers rare Node.js-based malware appeared first on Microsoft Security .

Microsoft Security

Automated incident response in Office 365 ATP now generally available

September 9, 2019 admin Microsoft Cloud App Security, Microsoft Defender Advanced Threat Protection, Microsoft Defender ATP, Office 365 Security, phishing, Threat protection

Credit to Author: Todd VanderArk| Date: Mon, 09 Sep 2019 16:00:37 +0000

Powerful automation capabilities help improve the effectiveness and efficiency of investigating and responding to Office 365 alerts.

The post Automated incident response in Office 365 ATP now generally available appeared first on Microsoft Security .

Microsoft Security

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

August 8, 2019 admin AI and machine learning, automation, cybersecurity, Endpoint security, indicators of compromise (IoC), machine learning, Microsoft Defender Advanced Threat Protection, Microsoft security intelligence, Security Intelligence, Threat Intelligence, TTPs, Windows Security

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

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

August 7, 2019 admin CVE-2019-0887, cybersecurity, Endpoint security, Event Tracing for Windows (ETW), exploit, Microsoft Defender Advanced Threat Protection, Microsoft security intelligence, Remote Desktop Protocol (RDP), Security Response, Vulnerability, Windows Security

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 .

Microsoft Security

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

July 31, 2019 admin assertion engine, cybersecurity, hardware-based isolation, kernel-mode attacks, Microsoft Defender Advanced Threat Protection, Microsoft security intelligence, next generation protection, Privilege Escalation, runtime attestation, Security Intelligence, Threat protection, token swap, token theft, Windows Defender Antivirus, Windows Security

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

The evolution of Microsoft Threat Protection—July update

July 29, 2019 admin Evolution of Microsoft Threat Protection, Evolution of Microsoft Threat Protection page, Microsoft Cloud App Security, Microsoft Defender Advanced Threat Protection, Microsoft Defender ATP, Office 365 Security

Credit to Author: Todd VanderArk| Date: Mon, 29 Jul 2019 16:00:50 +0000

Learn about the latest enhancements to Microsoft Threat Protection, the premier solution for securing the modern workplace across identities, endpoints, user data, apps, and infrastructure.

The post The evolution of Microsoft Threat Protection—July update appeared first on Microsoft Security .

Microsoft Security

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

July 25, 2019 admin AI and machine learning, Antivirus, automation, cybersecurity, detection evasion, Endpoint security, LockerGoga, machine learning, Microsoft Defender Advanced Threat Protection, Microsoft Defender ATP, Microsoft security intelligence, monotonic models, next generation protection, Windows Defender Antivirus

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 .