Right now, signature-based detection tools and human experts are the bread and butter of most organizations’ cybersecurity systems—and these systems are failing. Malware is growing and diversifying at an unprecedented rate, with roughly a third of all malware ever created having been made in just the last two years.
Where traditional solutions can’t keep up with the growth of malware, however, machine learning solutions powered by machine learning can. Learning software can analyze more data than any human could possibly hope to examine, and do it faster and more accurately. In this paper, we’re going to break down for you exactly See how a machine learning cybersecurity system works, from training to feature extraction to model building.
How to Train Your Machine
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