On October, 30 2016 by Israël Science Info desk

Fortscale ends insider threats with a new generation of rule-free, autonomous behavior analytics based on machine learning. With no rules to set up, Fortscale’s user behavior analytics engine starts getting smarter the second you turn it on. Fortscale models your users and systems autonomously, on-the-fly. Fortscale spots anomalous behavior quickly, accurately and doesn’t need constant “babysitting.” It might sound like magic, but it’s mostly just really good math – and only Fortscale has it. Backed by Intel and Blumberg Capital, Fortscale ends insider threats, lowers analyst stress-levels and makes your whole security operation work a whole lot better. Fortscale is the only pure-play machine learning UEBA product on the market. No rules to write. No limits on what Fortscale can detect. From its intuitive alerts and investigations, to its self-tuning anomaly detection and risk scoring, Fortscale is stacked with features designed to make the lives of security analysts easier.

Autonomous Insider Threat Detection Engine

Fortscale’s insider threat detection engine analyzes authentication and contextual data from a number of sources within your environment, and quickly models “normal” or baseline user and entity behavior. Using multivariate statistical analysis and machine learning, Fortscale identifies when deviations in behavior occur without the need to manually write a single rule.

Dr. Yona Hollander
COO & Co-founder of Fortscale

Multivariate Risk Scoring