ThreatMark continuously analyzes user behavior to identify suspicious activities as they occur. By detecting anomalies in login attempts, transactions, and account interactions, it enables financial institutions to act before fraud results in financial loss.
The platform evaluates unique user behaviors—such as typing patterns, mouse movements, and device interactions—to create individualized risk profiles. This helps differentiate between genuine users and fraudsters, even if stolen credentials are used.
ThreatMark detects social engineering scams and APP fraud by identifying behavioral anomalies that indicate coercion, hesitation, or unusual transaction patterns. By flagging high-risk transfers, financial institutions can intervene before money is sent to fraudsters.
Easily integrates into existing systems via APIs, enhancing current fraud detection measures without requiring significant infrastructure changes. This ensures that banks can strengthen their defenses quickly and efficiently.
Leverages AI to learn from emerging fraud patterns, adapting in real-time to evolving threats. This proactive approach ensures financial institutions remain resilient against new and sophisticated fraud techniques.
Identifies and blocks account takeover attempts by recognizing discrepancies in user behavior, device changes, and access locations. By detecting unauthorized access early, ThreatMark prevents fraudsters from exploiting compromised accounts, protecting sensitive customer information.