What AI says about Plixer ML Engine

Plixer ML Engine provides behavioral analytics for cybersecurity by applying supervised and unsupervised machine learning directly to flow-derived network telemetry to baseline normal communication patterns and detect when that behavior changes. It delivers traceable anomalies, classifications, and forecasts tied to flows, peers, volumes, and services within the Plixer One interface, integrating analytics with existing workflows. The engine uses unsupervised learning for behavioral baselining and supervised learning for malicious traffic classification, and it scales by operating independently from flow collection so predictions can be returned to Plixer One for visualization and reporting.