Learn the normal behavior your network and digital supply chain.
ThreatWarrior leverages a combination of unsupervised deep neural networks, supervised machine learning and advanced analytics to identify attacker behavior. The platform autonomously adapts to new evidence in real time, enabling you to understand the behaviors of everything on your assets including virtual machines, third-party tools, vendor applications, microservices, devices and, by proxy, even human users.
Deeper Learning, Better Security
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.
Get a Demo
Schedule a one-on-one demo with a ThreatWarrior expert to see how we can help your team stop cyber threats before they become breaches.