Enables identification of channel visitors in real time, within milliseconds — ensuring decisioning systems have the insight needed to validate transactions and users, regardless of authentication.
Based on behavioral biometrics like swipe direction, typing speed, or push pressure, build scoring models using real-time data to detect and prevent fraud such as account opening and takeover.
Recognize fraud before it occurs by discovering hidden data patterns such as login failures, DDoS attacks, username or password harvesting, application failures, and bot attacks.
Celebrus combines the power of comprehensive first-party identity technology with the addition of behavioral attributes and signals to detect anomalies and prevent fraud from all users, including anonymous ones.
