ThreatFabric

Fraud Solution Profile

What distinguishes ThreatFabric is its intelligence-led approach, underpinned by an in-house Mobile Threat Intelligence team of malware researchers and analysts. This team continuously discovers and analyses emerging threats – including identifying new malware families before they are widely deployed – and feeds this intelligence directly into the Fraud Risk Suite. As a result, financial institutions can anticipate threats and take preventive action ahead of attacks, rather than relying on external feeds or reacting after fraud occurs.

This intelligence is combined with a mobile-first, multi-model detection approach that uses heuristic AI models built on device telemetry, behavioural biometrics, and anomaly detection. These models continuously assess risk across the entire customer journey, enabled through a single, lightweight SDK that captures device, behavioural, and channel-level signals across mobile and web environments. This unified architecture allows for real-time detection of scams and social engineering while reducing integration complexity for banks. 

ThreatFabric’s model is designed for practical deployment and long-term efficiency. By performing analysis close to the user – leveraging on-device capabilities – and avoiding fragmented architectures or heavy reliance on third-party data sources, the platform enables faster time-to-value, lower operational overhead, and continuous adaptation to evolving fraud tactics. The close integration between research, intelligence, and product development ensures that new insights from criminal ecosystems are rapidly translated into actionable protections for customers.