Fraud Detection
Identify suspicious patterns and non-compliant behaviors by analyzing not only your data but also the relationships among the data points.
Identify suspicious patterns and non-compliant behaviors by analyzing not only your data but also the relationships among the data points.
Enables users to share their insights on various entities and data points.
Automatically connects related entities during investigations.
Allows for detailed text searches across all data and documents.
Provides visual analysis of suspects and their connections.
As data volumes continue to grow across all sectors, robust fraud detection measures ensure regulatory compliance, mitigate the risk of breaches, and bolster user and customer trust.
Effective fraud detection is vital to ensuring timely detection of irregular dynamics, speeding up claim management times, and to minimizing the number of false positives, thus also improving the user experience.
Utilizing data analytics to detect and prevent fraudulent activities within insurance claims.
Assessing the likelihood of a borrower defaulting on a loan by analyzing various data points.
Implementing data analysis techniques to detect and prevent financial crimes and illicit transactions.
Identifying and verifying the individuals who ultimately own or control a legal entity to prevent financial crimes.
If you’re interested in Galileo.XAI and you want to know more about our solution please contact us!