Federated learning and analytics for fraud prevention
Enable your banking and insurance customers to build better fraud risk models on your platform, with machine learning and analytics on distributed data.
Single party financial data misses the full picture.
Fraud is costly, but rare. First-party data held by banks, insurers, and consumer brands are skewed, with a very small proportion of fraudulent transactions, making it difficult to detect fraud patterns with machine learning. Data sharing across institutions and borders enables more accurate fraud risk modelling. But with data sovereignty and privacy regulations, and concerns about leaking sensitive IP, financial institutions are unable to collaborate with their first-party data to build better fraud risk models.
Integrate.ai
Make more financial data accessible for fraud risk modeling.
With integrate.ai's production-ready, API-based platform, stand up federated machine learning and analytics across data on your platform in less than a week.
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