Applying Threat Intelligence to Iranian Cyberattack Risk

Credit to Author: J.J. Thompson| Date: Wed, 15 Jan 2020 13:01:37 +0000

As geopolitical interest increases, discussions of threat intelligence increase which increases pressure on security operations teams to provide answers to customers and to senior leadership.<img src=”http://feeds.feedburner.com/~r/sophos/dgdY/~4/pQqkg_WT2eU” height=”1″ width=”1″ alt=””/>

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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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