AI-Driven Watchlist Screening: Reduce False Positives & Enhance Compliance Efficiency

Compliance teams navigate an ever-changing global landscape of sanctions, enforcement actions, political exposure, and adverse media. They’re spending hours investigating potential matches instead of focusing on genuine risks.

Here’s how we can help your team work smarter:

• Build stronger and automated screening controls without analyst review
• Make confident decisions faster
• And cut through false positives

Socure’s Global Watchlist platform brings these pieces together with practical AI

Our approach is different, using two distinct scores to help you identify true matches.

Here we see that Kelly Herbert has an 88% name match and 46% entity correlation score against Paul Herbert Oquist Kelly.

The Name Match Score catches name variations from different spellings to translated names. You set the matching threshold that fits your risk level.

The Entity Correlation Score answers the question: ‘Are we looking at the same person?’ It checks things like birth dates, locations, nationality, and other details that help confirm or rule out matches.

Our AI assistant breaks down why these numbers matter:

• Looking at the names: How they’re similar and different
• Gender information
• Location history
• And additional details that help confirm that this isn’t a match
• Giving you a clear explanation you can understand and share

Accept or reject matches, add your investigative notes, and export audit-ready decisions in seconds – not minutes.

The impact? Enhanced screening accuracy, reduced false positives, and optimized operations – empowering analysts to focus on strategic risks while reducing compliance costs.