Black Box to Glass Box Verdicts – Mario Vuksan – BH20 #2
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.
Visit https://www.reversinglabs.com/ to learn more about them!
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Mario founded ReversingLabs in 2009 and currently serves as CEO. In this role he drives all aspects of the company’s strategy, operations and implementation. Prior to ReversingLabs Mario has held senior technical positions at Bit9 (now Carbon-Black), Microsoft, Groove Networks, and PictureTel (now Polycom). He is the author of numerous research studies, speaking regularly at FS-ISAC, RSA, Black Hat and other leading security conferences.
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