To ensure broad asset protection and real time fraud prevention and detection, companies need to implement good corporate security practices, by following the steps below:

Risk and vulnerability assessment of the entire environment, and maturity evaluation of the organization’s fraud prevention and management model.
Redesign of organizational fraud prevention, detection and handling processes, including the deployment of these processes and performance indicators.
Usually consists of monitoring mechanisms based on behavior and fraud patterns. Behavior or profile is typically represented by means of predictive (learning) models or statistical metrics. Fraud patterns can be detected using business rules that comprise data comparison, counters, temporal counters, decision trees, etc.
Supports fraud case analysis and investigation. In this stage, an anti-fraud solution must provide data analysis, link analysis, reports and dashboards, investigation workflow as well as manual and automatic actions to avoid losses. Such actions can integrate with legacy systems to perform the operations automatically. These features can be employed to implement an end-to-end fraud prevention process.


• Minimized fraud-related losses

• Regulatory compliance

• Cost and time reduction and simplified investigation process

• Peace of mind and trust in business processes, consequently improving security and company image perception

• Minimized time to market to adapt to new frauds

Real-time fraud prevention and detection applications

E-commerce: Card and account monitoring to protect online purchase
Cards: Client, account and card monitoring to protect purchase operations either online or not with debit and credit cards
Merchants: Merchants, cards, POS and transactions (monetary or non-monetary) monitoring
Bank Accounts: Client, account, location and transaction monitoring to protect account-related bank service channels, such as landlines, Internet, ATM, mobile phones, etc.
Corporate: Also known as employee, internal, or occupational fraud. This application consists in monitoring the use of corporate software to detect violations (e.g., policy), understand suspicious behavior, and protect customers’ and company’s assets from internal threats