Explainable Machine Learning

TitaniumCore includes “explainable” machine learning, a groundbreaking application of machine learning algorithms and models to classify unknown malware, while providing analysts a deep and actionable understanding of “why” the detection was determined. TitaniumCore’s machine learning classification is based entirely on human readable indicators, coded to identify which of these indicators have contributed to a malware’s final verdict. Furthermore, each of these indicators is linked to a respective MITRE ATT&CK framework category that helps SOC analysts understand the type of threat they are dealing with, its behaviors at various stages in the attack, with references to the verifiable data supporting that mapping, and its impact to the organization.

Explainable Machine Learning
What is Explainable Machine Learning?

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