Account Takeover Fraud Solution

Behavioral biometrics captures how a user typically interacts with input devices (e.g., typing speed, rhythm, mouse movements, or touch gestures), creating a unique behavioral profile. Deviations from established patterns can indicate a potential Account Takeover (ATO) risk, signaling that the user may not be legitimate.

DT detects anomalies across Android applications and operating systems, includijng credential stealers, malware, and potentially unwanted programs. The technology is fit for modern onboarding experiences supporting multiple risk assessments within the same onboarding process and allowing an aggregated view of risk across omni-channel and multi-step journeys.

DT stops online banking fraud while protecting privacy. DT collects no personal data by default, focusing on fraud patterns. Even with IP or behavioral data, individuals remain unidentifiable. All collected device, network, and behavior data is anonymized, obfuscated, and encrypted, used exclusively for fraud prevention.

Digital Trust (DT) continuously monitors sessions by processing incoming data to consolidate, analyze, and enhance information. This dynamic “continuous risk monitoring” allows for evolving risk assessments and alerts as the session progresses, detecting fraudulent activities and anomalies post-login by monitoring user behavior and device/network context.

Ongoing research into fraud and identity signals helps detect new and evolving fraud methods. It provides insights and risk indicators aligned with known fraud patterns. Customizable risk strategies, including bespoke rules and adaptable risk scores, balance fraud capture with operational constraints, ensuring effective false positive management.