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Using Similarity-Based Mapping to Prevent Breaches

Using Similarity-Based Mapping to Prevent Breaches

CrowdStrike data scientists have developed a new similarity paradigm that allows for the organization and accessibility of cybersecurity data. This paradigm enables scientists and analysts to effectively prevent and respond to breaches by associating different representations of important cybersecurity objects.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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