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.

In this whitepaper, we will cover:

• How deep learning is being implemented in cybersecurity

• Why it is important to classify zero-day malware in real-time

• How deep learning is used to classify malware types

• The outcomes of malware classification