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Sophos Introduces Predictive Protection in Intercept X with Advanced Deep Learning

By   /  February 2, 2018  /  No Comments

by Angela Guess

A recent press release reports, “Sophos, a global leader in network and endpoint security, today announced the availability of Intercept X with malware detection powered by advanced deep learning neural networks. Combined with new active-hacker mitigation, advanced application lockdown, and enhanced ransomware protection, this latest release of the next-generation endpoint protection delivers previously unseen levels of detection and prevention. Deep learning is the latest evolution of machine learning. It delivers a massively scalable detection model that is able to learn the entire observable threat landscape. With the ability to process hundreds of millions of samples, deep learning can make more accurate predictions at a faster rate with far fewer false-positives when compared to traditional machine learning.”

Tony Palmer, senior validation analyst with the Enterprise Strategy Group (ESG), commented, “Traditional machine learning models depend on expert threat analysts to select the attributes with which to train the model, adding a subjective human element. They also get more complex as more data is added, and these gigabyte-sized models are cumbersome and slow. These models may also have significant false positive rates which reduce IT productivity as admins try to determine what is malware and what is legitimate software… In contrast, the deep learning neural network of Intercept X is designed to learn by experience, creating correlations between observed behavior and malware. These correlations result in a high accuracy rate for both existing and zero-day malware, and a lower false-positive rate. ESG Lab analysis reveals that this neural network model scales easily, and the more data it takes in, the smarter the model becomes. This enables aggressive detection without administrative or system performance penalty.”

Read more at Nasdaq.com.

Photo credit: Sophos

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