Detect credential stuffing attacks, low-and-slow bots bypassing WAFs and bots that defeat CAPTCHAs. Layer additional intelligence related to traffic behavior to better inform risk decisions across every touchpoint.
Detect adversaries using automated bots and scripts to test stolen identity credentials. Identify multiple accounts coming from the same device or location. Seamlessly integrate third-party intelligence to enhance identity verification.
Prevent Account Takeover and build trust by accurately recognising returning customers, even if they wipe cookies or use private browsing, reducing unnecessary friction. Pinpoint anomalies in account access, for example, the use of proxies or emulators.
Deploy passive, risk-based online payment authentication using the customer's journey's behavioural intelligence. Integrate additional payment authentication services via the Darwinium Marketplace.
Darwinium's Fraud Prevention can be deployed in minutes across your digital landscape. Customise and adjust new journeys and configurations directly within the platform. Combine layered native profiling with any third-party intelligence to enhance risk decisions in fraud detection.
Discover insights and indicators for new customer behaviour in real-time. Safely train, test, and implement machine learning models for fraud detection. Configurable by no-code GUIs, low-code, or full-code options to suit your needs.
Darwinium’s unique digital signatures distill data into bitmaps for easy comparison. Minimise false positives by adjusting similarity thresholds based on risk tolerance. Identify patterns of behaviour, identity, content, and context for effective fraud prevention.