Real-time Digital Banking Fraud Detection
Here are some key challenges: -A user can have multiple IP address depending on their home router, office proxy, traveling hotspot location… -Should you detect suspicious Online and Mobile events? -Should you detect the subsequent suspicious money transfer activities resulting from suspicious Online and Mobile events? -Do both? -Should you block an IP address coming from an infected device? Guardian Analytics machine learning and fraud behavioral analytics risk engine monitors in real-time hundreds of digital banking fraud risk indicators from anomalous login behavior including time of day, day of week, IP address change velocity, to device fingerprinting and configuration changes, wire recipient unusual changes, ACH recipient unusual changes, malware detected on devices… and calculate a real time risk score for every digital banking user enabling Financial Institutions to detect digital banking suspicious activities.