Stop fraud in its tracks

Improve fraud detection effectiveness with a comprehensive view across relevant financial datasets, such as customer data, financial transactions, authentication information, and public records. Update models with real-time data to enhance early detection and prevention of cybercrimes.

• Connect historical data with market data and public records
• Ensure fast response to suspicious activities with real-time data refreshes
• Sync data sets that don't have matching columns

Augment traditional rules-based systems with a probabilistic approach that detects patterns in real time, bringing more adaptability and accuracy to your fraud detection strategy.

• Identify abnormal patterns or behaviors within large datasets
• Forecast potential fraudulent activities with predictive AI modeling
• Quickly assess financial risk for new clients

Pick the best outcome balancing risk and growth from up to 10¹⁹ factors, including predicted approval rates, loss rates, client acquisition, revenue, and lifetime value.

• Set contingency plans for potential cyber attacks
• Ensure rapid response to suspicious behaviors
• Balance key business drivers, such as growth, risk, and client satisfaction with scenario planning

Integrate Ikigai with traditional rules-based systems to filter out the high number of false alerts and let domain experts focus only on legitimate threats. Ikigai incorporates eXpert-in-the-loop for simple, fast resolution, increasing time to value for new customers, loans, and payments.

• React quickly to market changes
• Gain competitive advantage with more accurate threat detection and resolution
• Build trust with alert explainability