AimAnomaly Detection (AAD), a subset of AimBehaviour, is our proprietary fraud detection module.
Benefits at a glance:
Get a continuous, in-session risk-based assessments, across any channel.
Forming part of our BIDaaS model, behaviours and anomalies can be captured across any device they are using; from a keypad, keyboard, touchpad, mouse or entry system. AAD and its parent module, AimBehaviour, can be deployed in isolation or used in conjunction with our other modules, for additional step-up security when required.
To discuss how AimAnomaly Detection (AAD) could flag fraud, from manual and large-scale simulated attacks, contact one of our team for a no-nonsense chat today.
Download the AimAnomaly Detection fact sheet to find out more about our fraud monitoring and assessment solution.
AimAnomaly Detection is part of AimBehaviour, our continuous, invisible monitoring module, and is configured for our BIDaaS platform.
Our APIs integrate easily into your existing web or mobile apps, and all behavioural data is captured within your infrastructure. AimAnomaly Detection looks specifically for potential behaviours that could signify a breach or attack, using generic industry or enterprise-specific data. Our deep learning engine spots patterns and anomalous patterns, rhythms and behaviours, and is based on evolutionary neural networks and is therefore unhindered by human bias or intervention.
Keep your business safe and use AAD as your ultra-vigilant fraud detection system, whatever the channel.