Security News > 2020 > October > Imperium RelevantID helps market research and panel orgs combat synthetic identity frauds

Imperium announced the release of a significantly upgraded version of its flagship ID-validation tool RelevantID. This major release is designed to help market research and panel organizations combat the rise of highly sophisticated synthetic identity frauds that are becoming increasingly difficult to catch using conventional fraud-detection models.

New RelevantID additionally includes FraudProbabilityScore, a machine-learning model that assesses passive and behavioral data, returning an extremely precise fraud assessment that detects fraud, bots, and jumpers/ghost completes in surveys.

The announcement chimes with the findings in a report on the subject of synthetic identity fraud published this year by the Federal Reserve.

The authors of the paper referred to an ID Analytics study estimating that traditional fraud-detection models lacked effectiveness in 85-95 percent of likely synthetic identity frauds.

The extensive link-analysis process that's a core part of Imperium's survey data quality solutions mirrors Federal Reserve recommendations that businesses adopt a 'layered fraud mitigation approach' incorporating 'manual and technological data analysis' to combat the most sophisticated fraud technologies.

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