Description
Product Category : User Cases
Format : PDF
Real-Time Protection Against Financial Threats.
Fraud detection in banking uses AI-driven models to analyze transaction patterns and detect anomalies that could indicate fraudulent activities. These systems leverage machine learning algorithms trained on vast amounts of historical transaction data to identify suspicious behaviors, such as unusual spending patterns, multiple transactions in a short time, or transactions from unfamiliar locations. By flagging potential fraud in real time, banks can prevent significant financial losses and protect their customers’ assets.
