Sigma360, the definitive AI-powered risk screening and monitoring platform that enables compliant global relationships, today introduces the game-changing Entity Risk feature. This highly anticipated enhancement revolutionizes adverse media screening, delivering unmatched efficiency by harnessing cutting-edge AI, Machine Learning (ML), and Natural Language Processing (NLP). With access to Sigma360’s expansive news pipeline—sourcing data from over 500,000 publishers across 200+ countries—businesses can now seamlessly target and mitigate risks faster and more effectively than ever before. Elevate your compliance strategy with Sigma360’s latest innovation.
“Our proprietary AI news filtration pipeline is crafted to enhance catch rates while keeping false positives to a minimum, offering unmatched accuracy with built-in explainability and end-user control,” said Stuart Jones Jr. CEO of Sigma360. “With Entity Risk, we’ve transformed a traditionally complex challenge—pinpointing the right risks about the right person or company—into a faster, more precise process, elevating the efficiency and effectiveness of adverse media screening.”
Sigma360’s Entity Risk feature is built on a highly advanced framework that allows for the efficient processing of vast data sets at an unprecedented scale. “Leveraging our unique technology, we’ve overcome significant challenges to deliver exceptional speed and accuracy,” said the Sigma360 engineering team. “This breakthrough not only enhances our platform’s capabilities but also sets the stage for future innovations, reinforcing our position as a leader in AI-powered risk screening.”
The new Entity Risk feature enhances the platform’s ability to identify high-risk entities through advanced classification technology. This process is further supported by intelligent extraction and filtering capabilities, including materiality scoring, location proximity, and date of birth matching. Users can fine-tune their searches with over 15 customizable levers, allowing them to focus on what matters most—whether it’s risk type, materiality, risk levels, or specific locations.
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