Serpil Hall, the head of financial crime at Celebrus, a digital identity verification company, explores the challenge of providing strong security against fraud while maintaining a seamless customer experience.
With cyberthieves becoming increasingly sophisticated, organizations must protect sensitive customer information to combat scams and fraud. They are turning to actionable, real-time, first-party data to analyze user responses in detail from their initial website or mobile app visit and throughout subsequent interactions.
First-party fraud solutions connect unique browsing behaviors in real-time, even across different sessions, devices, and IPs. The collected behavioral data is integrated into fraud decision engines and case management systems for in-depth analysis. Behavioral biometrics, which examines unique digital behaviors, is a valuable tool for verifying a user’s identity.
Behavioral biometrics identifies patterns in human activities, such as mouse dynamics (handedness, speed, accuracy), keystroke dynamics (speed, pressure, rhythm), gestures (pinches, swipes, zooms), and eye tracking (eye movement and focus on the screen).
Many fraud prevention teams combine behavioral biometrics and analytics to confirm identity and detect anomalies. These technologies can spot sudden changes in behavior, typing speed, or mouse usage.
To achieve comprehensive fraud prevention, organizations need to employ multiple techniques, including behavioral anomaly detection to identify unusual transaction patterns. Current actionable real-time data often relies on historical data, leading to flaws and biases in decision-making.
A multi-layered fraud defense solution, integrating traditional identity verification methods with advanced fraud detection, including real-time data capture, behavioral biometrics, and behavioral analytics, is the most effective way to combat evolving fraud and scams.
Celebrus, as a data technology platform, focuses on improving relationships between brands and consumers through enhanced data. It captures, contextualizes, and activates real-time consumer behavioral data across digital channels, including behavioral biometrics and AI, empowering brands to detect and prevent fraud.
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