Process Intelligence

Business Needs

On-Time Delivery | SLA Monitoring | Dynamic Workload | Order Processing | Fraud Detection

ATM Fraud Detection Monitoring

React faster to prevent costly fraud

With credit card or ATM card fraud, every second counts. When someone steals an ATM or credit card, the account number and even the PIN can be distributed across the Internet in seconds. You can’t afford to wait until the next day, or even next hour, to run a report on potential fraudulent behavior.

With our PI solution, you can:

• Analyze a huge number of transactions "as they happen"
• Compare that against known “normal” behavior
• Take an action immediately when an issue is detected

Count on a solution that’s flexible enough to keep up with ever-changing fraud scenarios and schemes. You can benefit from real-time analysis of data as well as use sophisticated, easy-to-use visualization and research tools.

Using BAM, for example, you can define each account holder’s withdrawal pattern to establish a baseline of normal activity. This baseline would help you understand what is normal for a given account for a given hour of day and day of week.

With alerts, you can watch the real-time stream of ATM transactions and constantly compare them against what is “normal” for a given account. You could learn, for example, when three or more larger than normal withdrawals were made from three or more different ATM locations. This alert could then trigger a process to alert the card holder, put the account on hold and alert your staff to investigate.

Dashboards can help you visualize exactly why a specific alert was raised. You could, for example, create a map that locates each withdrawal and its amount to quickly verify what the automated systems found.

Using process mining, you can analyze the structure of the transaction process and detect additional patterns of fraudulent behavior to create additional alert scenarios.