ThreatWarrior’s core foundation is a behavioral learning platform powered by deep learning AI. It is the first solution to apply unsupervised deep neural networks to cybersecurity, a technique that mimics the way the human brain processes information. Using our unsupervised neural networks, ThreatWarrior learns every detail of your network without human bias.

This technique is much more powerful and sophisticated than earlier techniques, such as Bayesian machine learning. One big advantage of this technology is that ThreatWarrior excels at feature extraction: building complex hierarchies of meaning to express information from raw data.

Apply this to cybersecurity, and you can derive information from raw traffic like, “Who talked to whom about what?” to conceptualize higher-order patterns in the environment. Using unsupervised neural networks to perform deep learning allows you to observe significantly more detail, so what you see is a better, more accurate picture of your security environment.