In my last post, I talked about the need for a paradigm shift from point-in-time detection technologies to a new model that combines a continuous approach with a big data architecture. This new model lets Cisco deliver a range of other innovations that enhance the entire advanced malware protection process across the full attack continuum—before, during, and after an attack.
One of these innovations, unique to Cisco AMP for Endpoints, is Attack Chain Weaving which introduces a new level of intelligence not possible with point-in-time detection technologies.
We all know that attackers are making it their job to understand traditional point-in-time detection technologies and innovate around their limitations to penetrate endpoints and networks. However, as these attacks unfold, they leave in their wake massive volumes of data. Attack Chain Weaving allows defenders to use this data to their advantage. A big data architecture handles the ever-expanding volume of data that is essential to effective malware detection and analytics, and a continuous approach uses that data to provide context and, most importantly, prioritization of events when and where you need it.
Continue reading “A New Model to Protect the Endpoint, Part 2: Attack Chain Weaving”
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