ThreatMetrix Persona ID Rules uncovers anomalous behavior through the association of related activity and connected entities such as email addresses, transactions, accounts, devices, IP addresses, geo-location, proxies and physical addresses. It also allows the use of custom fields such as credit cards for creating customer-specific user profile building. The Rules then score the divergence (anomalies) or convergence (similarities) between current and historical attributes.
Using the newly launched tool, customers will now be able to:• Assess the risk associated with the person or device engaged in an online transaction;• Examine related transactions and determine whether they have been flagged as high risk in the past;• Identify a legitimate customer based on whether the device and identity associated has been flagged as low risk in previous transactions;• Provide a view of a visitor’s identity based on historically related transactions linked to the same identity or device;• Detect unusual velocities in identities. For example, if transactions coming from an identity are flagged low risk or without any associated historical incidence of fraud, a business can safely screen the transactions in real-time for a frictionless, positive customer experience;• Determine if a device seen across multiple identities, time zones and geographies is flagged as suspicious, relative to the norm.
ThreatMetrix serves a global customer base across a variety of industries, including financial services, e-commerce, payments, social networks, government and healthcare.
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