Classifying Malware Using Deep Learning

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Presented by

Yaniv Shechtman Director of Product Management at Deep Instinct

About this talk

With the increase of cybersecurity disasters and due to the lack of staff expertise, organizations are concerned for the state of their infrastructure’s security, leading many organizations to use third-party threat intelligence solutions. In order for SOC and IR teams to get a full understanding of an impending threat, they need to measure the threat severity - a task that requires time, resources and money. That being said, there is an ongoing need to respond to such cyberattacks in real-time with minimal human interaction using artificial intelligence, or to be more specific – deep learning.

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The Deep Instinct Prevention Platform stops never before seen, unknown threats with the highest accuracy and lowest false positive rate to stop attacks before they can detonate and wreak havoc.