The company claims that its deep learning approach gives it better performance than its competitors who are using more traditional machine learning approaches. It says its threat detection accuracy is ...

A team of researchers recently presented their paper on KiloGram, a new algorithm for managing large n-grams in files, to improve machine-learning detection of malware. The new algorithm is 60x ...

If the dataset has no fraud examples, we can use either the outlier detection approach using isolation forest technique or anomaly detection using the neural autoencoder.

A new stealthy Linux malware known as Shikitega has been discovered infecting computers and IoT devices with additional payloads.

A new variant of the Konfety Android malware emerged with a malformed ZIP structure along with other obfuscation methods that allow it to evade analysis and detection.

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 ...