BehavioSec power real-time analysis of behavioral data for fraud prevention and authentication. We analyze data collected from the user and validates it against a stored profile for that user and calculates a risk of fraudulent usage for the session.
Implementation of a scalable back-end for real-time analysis and visualization of behavioral data ingested from client-based collectors. The system will employ stream processing (e.g. Kafka Streams, Flink) and existing prediction system to provide real-time visualization in a web-based dashboard. In addition to the event log the processed and aggregated data will be stored in a database for retrieval, with basic functionality regarding replays, comparisons and analysis in the dashboard.