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Smart Analytics

Leverage powerful statistical models to understand customer behavior

Quickly Develop Insights and Spot Anomalies

ThreatMetrix identifies user behavior, associated transactions and anomalies by using advanced rules and statistical models. While the capabilities are global across customers, they can be tailored to address regional or local business requirements.

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Rules and Workflow

Fully configurable analytics and processing

Highly customizable, clear-box rules and workflow process to suit the varying needs of different use cases and system configurations. Suspicious transactions that deviate from... Show More

Highly customizable, clear-box rules and workflow process to suit the varying needs of different use cases and system configurations. Suspicious transactions that deviate from trusted patterns of behavior can automatically invoke additional third party data requests to augment the review, trigger stepped-up authentication, or be routed to the Case Management system for manual review. This provides a proactive approach to fraud detection, improving efficiency and streamlining the review process.

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Smart Rules

Automated detection of user behavior patterns and anomalies

Uses behavioral analytics to accurately detect and analyze changes in user behavior. This approach identifies complex fraud patterns with high accuracy based on... Show More

Uses behavioral analytics to accurately detect and analyze changes in user behavior. This approach identifies complex fraud patterns with high accuracy based on dynamic user behavior modeling. ThreatMetrix Smart Rules allows organizations to create custom variables, rules, models and policies to analyze patterns specific to their organization as well as their users.

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Smart Learning

Clear-box machine learning to uncover hidden insights

A cognitive system that gives customers an effective, predictive model based on past behavior and transaction data. Our clear-box approach to machine learning... Show More

A cognitive system that gives customers an effective, predictive model based on past behavior and transaction data. Our clear-box approach to machine learning combines global intelligence from the ThreatMetrix Digital Identity Network® with customer truth data to produce highly accurate models. Businesses gain deep insights into the factors that drive the model and in turn better understand their customers. This can dramatically increase the efficiency of fraud and risk teams.

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