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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Deep Instinct, the first and only zero-day data security company built on a deep learning cybersecurity framework, prevents unknown threats in <20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct Data Security X (DSX) secures data at-rest or in-motion – across cloud, NAS, applications, and endpoints.