Global RADAR gives you access to fully automated, massively scalable, and comprehensive data collection for Adverse Media. While legacy providers rely on “fuzzy” name-matching that often misses crucial data points, our state-of-the-art, AI-driven system examines important criteria to deliver the most sophisticated results.
We scan more than 20,000 global media sources each day, cross-referencing data against our proprietary negative keywords list to help you detect problematic scenarios before they become “official.”
Knowing who you may be doing business with is critical in today’s business environment and early detection plays a tremendous role in mitigating third-party risk and ensuring AML/KYC/KYB compliance. Red flag behavior linked to money laundering, financial fraud, drug trafficking, human trafficking, risky finance, and terrorism can be better identified and predicted with adverse media and negative news screening.
Types of data monitored
The Global RADAR AI-powered platform use sentiment analysis, machine learning and proprietary negative keyword lists to automatically filter through the noise and only find relevant data. It is used to search individuals or business entities against news articles that are collected from tens of thousands of media sources globally every 24 hours.