Pioneering deep learning in the cyber security space: the new standard? | Cybersecurity - Information Age

Applying deep learning in the cyber security space has many benefits, such as the prediction of unknown threats and zero time classification, explains Nick Ismail, editor for Information Age. 

Will cyber security solutions move from machine learning to deep learning?

The use of deep learning in the cyber security space is an emerging trend. But, it has the potential to transform a security model that is currently broken, by predicting new attacks before they’ve breached an organisation’s network or device.

“Cyber security has a coronavirus situation every day,” said Jonathan Kaftzan, VP Marketing at Deep Instinct, during his presentation as part of the latest IT Press Tour.

Deep learning neural models can predict new variations of existing cyber attacks that occur daily, while the majority of current solutions in the market can only detect infected systems or anomalies, contain and remediate them — this is costly and unsustainable...

Deep learning vs machine learning
Deep learning is a sub category in a family of algorithims under machine learning, while machine learning is a broad set of algorithms under artificial intelligence.

Everyone is talking about AI, but it has been around for many years. You can define the technology as a system that mimics human intelligence by making decisions. There are many forms of human intelligence, such as if you do a. then b. will happen — many systems are already using this type of rule-based decision-making. 
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Source: Information Age