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Decision Management

Make authentication and fraud decisions with powerful data correlation, visualization and case management

Make fast, accurate authentication and fraud decisions

ThreatMetrix Decision Management empowers fraud and security managers to look beyond device and identity information and understand the intricate connections between individuals, devices, behaviors, locations and any present threats. Our solutions are smart enough to help differentiate between a loyal customer using a family member’s computer and a cybercriminal posing as him with stolen credentials to commit fraud. Transactions that require closer review are easily isolated and managed with integrated case management.

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Decision Management Portal

Perform retrospective-based and proactive forensic data analysis

ThreatMetrix Decision Management Portal enables fraud and security managers to investigate high-risk incidents, identify suspicious patterns on a large scale and take corrective and preventive action. The Portal provides... Show More

ThreatMetrix Decision Management Portal enables fraud and security managers to investigate high-risk incidents, identify suspicious patterns on a large scale and take corrective and preventive action. The Portal provides an intuitive graphical layout to conduct policy setting, search, drill down, geo-mapping and self-service user administration.

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Case Management

Isolate, monitor and update transactions for additional review

With integrated case management, ThreatMetrix provides a smarter way to handle increasingly complex caseloads with fewer resources. Queue based technology assists in the collection of relevant information about... Show More

With integrated case management, ThreatMetrix provides a smarter way to handle increasingly complex caseloads with fewer resources. Queue based technology assists in the collection of relevant information about the investigation and then supports the escalation procedure. By creating a case, an analyst tracks and associates other events and attributes to it, while researching. The organization can then feedback detected and missed frauds in order to support predictive detection and smart learning models.

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