TransparINT Monitor uses Machine Learning and Natural Language Processing to filter vast quantities of unstructured data from millions of sources to efficiently identify financial crime and reputational risk. TransparINT scores the relevance of each record. This approach provides vastly more negative news coverage, while limiting irrelevant results.
Once alert matches are identified, the system provides a fully integrated alert assignment and management dashboard that allows users to resolve alerts with complete audit tracking running in the background. A manager analytics dashboard provides insight into department work capacity, productivity, and alert trends.