Modern digital objects, made up of layers of structured code and data, are central to the exchange or storage of information and are becoming increasingly complex.
Moreover, because signature, AI and machine learning-based threat classifications from “black box” detection engines come with little to no context, security analysts are left in the dark as to why a verdict was determined, negatively impacting their ability to verify threats, take informed action and extend critical job skills.
They need an approach that leverages threat data from both internal and external sources to systematically analyze each layer of these complex objects, generating transparent “glass box” actionable intelligence and human interpretable data to detect, classify and respond to malware threats.
This segment is sponsored by Reversing Labs.
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|[caption id="attachment_210" align="alignleft" width="120"] Paul Asadoorian - Founder & CTO[/caption]|
|[caption id="attachment_210" align="alignleft" width="120"] Mario Vuksan - CEO and Co-Founder [/caption]|