BehavioSec has over ten years of practical experience applying breakthroughs in the fields of machine learning, big data, and artificial intelligence to the emerging technologies of behavioral biometrics. Early on, BehavioSec worked closely with key customers and government agencies to develop the sophisticated logic and algorithms required to move its behavioral biometrics platform into the mainstream commercial marketplace.
It takes more than scholarly expertise in machine learning and artificial intelligence to make a successful behavioral biometrics product. You need the performance and scalability characteristics required by modern organizations and internet architectures. Unlike academia, in the world of commercial applications you don’t have unlimited time for analysis or unbounded resources for data and bandwidth. To be commercially feasible the underlying machine learning models must be able to learn patterns from smaller sets of data, and do it in real time for millions of users. The BehavioSec solution provides a continuously learning AI subsystem with pre-weighted machine learning models based on prior analysis, using a hybrid of offline and online calculations.
Behavioral biometrics data can also be leveraged for bot and RAT detection. Because it has built up over time a sophisticated understanding of normal human behavior, BehavioSense can detect behavior that is likely to be non-human in origin.
In real time, the BehavioSec solution compares the behavioral biometrics of the active user against previously gathered profiles of that user, or others in the user population, for the purposes of continuous authentication. Offline, computationally intensive big data statistics provide additional analysis. Completing the circle, offline calculations feed into existing and new machine learning models for use in online real-time analysis. There are many benefits to this approach:
Authentication is evolving from static one-time user action, to transparent and continuous ways of validating digital identities without imposing frustration on end users.
Behavioral biometrics technologies invisibly and unobtrusively authenticate users by validating the manner in which they physically interact online. Behavioral biometrics technologies learn how individual users hold mobile devices in their hands and press their fingers on the touchscreen. On computers, the system learns how users type on keyboards and move their mouse and cursor.
The BehavioSec solution gathers this behavioral data and analyzes it using advanced techniques, to ensure that the user is who you expect them to be.