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Use cases
Eliminating vendor-related exposures
As organizations increasingly rely on a growing network of vendors, the complexity of related financial processes also increases – as does the risk of damage from unchecked exposures.
Blog
Practical use of data risk mining & machine learning science for finding anomalies and implementing continuous controls in the organization
Explore how Data Science, Machine Learning, and AI are used to analyze transactions, detect anomalies, and combat fraud, embezzlement, bribery, and money laundering. Learn key principles for implementing effective monitoring and analysis tools.
Calculators
Risk based calculator
Uncover the impact of detecting exposures faster and understanding them better.
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