Member Content
Looking good on your laptop
Published
Share

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.

 

Download the Report

Share this Article
Related Insights
Featured
Dutch FinTech Map 2022
Make sure your company is on the map! Are you a member, or active in the Netherlands? Provide your details to be featured!
Amsterdam Fintech Week
Amsterdam FinTech Week is back on 9-16 September, fully in-person and online. Be a sponsor, co-organizer, or just participate at the summit or one of the countless side events.
AMLD5 Guide
A source for consulting PSD2 legislation coupled with commentary, tips & tricks, applicability, in collaboration with our member law firms.

How likely are you to recommend Holland FinTech?