Fraud Attributes, Models and Scores

Refine your controls to meet specific and emerging fraud challenges faced by your business and build trust with your customers.

Reduce manual review queues and accelerate customer interactions so you can provide a streamlined journey for genuine customers.

Identify high-risk profiles and populations within your portfolio and take proactive measures before fraudsters ‘cash out’.

Use supervised machine learning algorithms — based on global transactions and detailed fraud reports — to deliver real-time risk scores. Refine models for industry-specific fraud trends.

Distinguish between risky and trustworthy transactions with predictive machine learning that helps you detect fraud trends - however subtle.

Work with our analytics team to help identify opportunities to improve performance, validate use cases and optimse your fraud defences.