PALO ALTO, Calif., May 23, 2023 /PRNewswire/ — Quantifind, a leading provider of AI-powered risk intelligence automation, has introduced its latest AI technology designed to empower organizations to proactively screen for potential threats. By utilizing risk, business, and geographical information, this groundbreaking technology enables efficient and comprehensive risk analysis through a reverse search approach.
Automated Risk Discovery: Empowering Efficient Risk Detection
Traditional risk analysis processes can be time-consuming and inefficient, especially when analysts lack specific names or access to sensitive information. This inefficiency exposes organizations to increased vulnerability. Quantifind’s Automated Risk Discovery solution, powered by its feature-rich risk intelligence platform, Graphyte™, equips analysts with real-time insights to assess potential risks. Unlike traditional approaches that rely on entity names, Quantifind’s comprehensive knowledge graph allows analysts to gather risk-related information and generate relevant entity lists—a capability unmatched by any other vendor.
“Intelligence analysts face the challenge of comprehending threats specific to various regions worldwide while navigating an overwhelmingly vast and complex information environment. GraphyteDiscover is a pivotal technology that aggregates and interprets open-source data, enabling analysts to assess key entities and relationships associated with specific threats, regions, and strategic concepts as a whole.” – Craig Dudley, Ph.D., Division Chief, Department of Defense.
Utilizing multiple risk identifiers and an advanced filtering mechanism, Quantifind’s Automated Risk Discovery, delivered through the GraphyteDiscover application, consolidates relevant data points into an intuitive, interactive graph. This graph maps networks of influence across millions of interconnected profiles and layers of global data. Analysts can easily extract localized regions of the graph aligned with specific geographic locations, threats, industries, and more—all with a simple click and real-time responsiveness. The end result is an accurate list of high-risk entities and their connections.
Beyond national security analysts, Automated Risk Discovery also serves financial crime analysts responsible for assessing, reporting, and mitigating risks for financial institutions. These analysts can leverage this solution to stay ahead of risks and evaluate exposure to national and international threats.
“After testing several vendors to enhance our AML/KYC processes with external data, Quantifind emerged as the top choice with its robust data science foundation, which translates into superior speed and accuracy.” – Tier 1 Global Bank.
Aligned with Quantifind’s explainable AI methodology, this web-based solution includes native data provenance features, providing a comprehensive account of all risk and relationship evidence. The solution offers full-featured reporting capabilities, seamlessly integrating Quantifind’s Knowledge Graph information into threat assessments and intelligence reports. The solution is easily accessible through an always-on, immediately available SaaS delivery model, ensuring effortless utilization.
