Symantec uses its “advanced machine learning” (AML) to learn to identify attributes of malicious software, while McAfee prefers its approach to “human-machine teaming” to boost malware detection.

A deep learning system could ultimately replace today's existing malware detection tools, Wolff says. "A machine learning engine is more effective" than a signature-based engine, he says.

Malware detection using AI: machine learning & deep learningIncorporating AI capabilities to enable more sophisticated detection capabilities is the latest step in the evolution of cybersecurity ...

Deep Instinct has introduced a solution that has been shown to have a 98.8% accuracy in detecting APTs in real-time ...

Security provider Deep Instinct announces the launch of a new deep learning antimalware tool designed to stop known and unknown malware.

Box has announced a new "deep scan" functionality that scans files as they are uploaded to identify sophisticated malware and avert attacks.

There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...