InQuest Machine Learning (ML): Augmenting human analysts to tackle the ever-increasing talent gap.

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With data collection methods becoming increasingly sophisticated, information related to the malware and its spread is more expansive and accessible than ever before. Along with this explosion of new data, questions have arisen about how to best harness it, with machine learning being one of many big data techniques for tapping into this vital new resource. The proper application of ML-based modeling to the malware data space has helped to significantly advance the field of cybersecurity, even as it gives attackers the tools necessary to circumvent these new developments.