CyberFlow Analytics

CyberFlow Analytics has coined the expression “Anomalytics” to describe a new continuous threat detection system using security analytics for anomaly detection. The new FlowScape technology uses machine learning to learn the behavior of clients, servers, applications and protocols on a network segment or attack surface. Through multi-model analytics with fusion and advanced visualization, the system identifies high risk threat behaviors in real-time. The new cyber security analytics has proven itself in the core of large scale networks where it detects threat risks such as employee policy violations and low-slow sophisticated breach activity (APTs). The product is completely virtualized and runs in Docker Containers for economies of scale and is a new big data streaming analytics technology that operates on a small infrastructure footprint. FlowScape augments traditional security tools such as SIEM, Firewalls and Splunk.