LexisNexis Risk Solutions Report: Reduce false positives with machine learning

LexisNexis Risk Solutions Report: Reduce false positives with machine learning

LexisNexis Risk Solutions Report: Reduce false positives with machine learning

The growing complexity of global regulation is increasing the need for new entities to be reviewed and monitored throughout compliance processes. With that, the number of alerts in analysts’ inboxes, and most likely false positive alerts, is on the rise.

As the volume of alerts, transactions and list entities grows, financial institutions and corporations are expected to absorb the rising operational costs for match remediation. Continually adding compliance staff only treats the symptom—too many false positives—and is not a practical, long-term strategy. Time spent remediating matches and distinguishing false positives from relevant risk drains resources, and diverts attention from your core mission.

LexisNexis® Intelligent Match Decision Solution is designed to solve this challenge. Our machine learning solution can dramatically reduce the number of matches that require manual review. It can automatically remediate a significant percentage of matches found through PEP, Adverse Media and Sanction Screening – helping you to meet increasing compliance demands without draining resources from your core business activities.

 

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