Why deep learning holds the key to preventing cyberattacks before they can strike

Abstract

Cyber security has always been a game of cat and mouse, with both sides reacting and attempting to outflank each other. While the security industry continuously develops new solutions for identifying and preventing attacks, the threat actors are innovating and evolving their techniques to bypass these defences. In order to break away from a reactive approach, organisations must prevent and neutralise the threat before it can execute inside their network. This is where deep learning (DL) comes in.