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.

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Enterprise incident response: getting ahead of the wave

Credit to Author: William Tsing| Date: Wed, 10 Jul 2019 14:19:31 +0000

As with traditional warfare, beating back attacks and winning depends on having a plan. Here are several incident respond models security researchers have developed for responding to threats.

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The post Enterprise incident response: getting ahead of the wave appeared first on Malwarebytes Labs.

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Enterprise businesses need malware analysts

Credit to Author: Nikolay Pankov| Date: Wed, 08 Nov 2017 10:08:26 +0000

Most modern, enterprise-level companies understand the menace of cyberthreats to business. Some of them have tried to solve cybersecurity problems with the help of system administrators and security software, but today, more and more companies have realized the need for in-house experts and even security operations centers (SOCs). One of the reasons more businesses are […]

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Combating a spate of Java malware with machine learning in real-time

Credit to Author: msft-mmpc| Date: Thu, 20 Apr 2017 13:02:00 +0000

In recent weeks, we have seen a surge in emails carrying fresh malicious Java (.jar) malware that use new techniques to evade antivirus protection. But with our research team’s automated expert systems and machine learning models, Windows 10 PCs get real-time protection against these latest threats. Attackers are constantly changing their methods and tools. We…

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