Payment Screening STOP TRANSACTIONS WITH PRECISION
Screen counterparties against Sanctions and Country lists in real-time. Cleanse data and tune name-matching.
SCREEN COUNTERPARTIES IN REAL-TIME
Our advanced name matching algorithms normalize data and identify sanctions risks, stopping transactions in less than 150ms. The result: less noise, less work for your investigation teams, and more effective screening.
Use your choice of 3rd party data for Sanction and High-Risk Country risks. We apply text cleansing and normalize data, allowing for optimal name-matching results and reduced False Positives.
Fight False Positives With Artificial Intelligence
We constantly learn from your investigators and your customer’s context, then automatically close cases which your investigators repeatedly identify as unsuspicious. The result: automate your first line of defense and reduce false positives by up to 60%.
Built with a white-box approach, we provide you with detailed, specific, and easy-to-understand explanations for every case making the investigation process 100% transparent and auditable.
Reduce Time per Case With a Centralized Interface
Give investigators a clear, 360° picture to rapidly and thoroughly inspect cases without switching systems. Quickly identify the reason for the alert and find possible courses of action.
The Dashboard view produces additional top-down insights on screening activity. This allows you to identify any issue with the workload, hit handling performance, or case backlog. When employing our Machine Learning module, you can see the false positive reduction achieved in real-time.
Fine-tune the algorithm and conduct what-if analyses based on real data in a sandbox, committing changes only when you are ready.
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Discover how HAWK:AI helps you efficiently comply with payment screening goals.
Monitor any transaction for red flags using a comprehensive set of rules in combination with Behavioral Analytics.
Screen customers against Sanctions, PEP, watchlists, and adverse media during onboarding and thereafter.
Customer Risk Rating
Dynamically score customer risk using internal and external data. Add behavioral analytics for richer context.