Fight financial crimes with greater effectiveness and efficiency by harnessing the power of AI/machine learning, extensive anti-financial crime domain expertise and global field experience.
Gain a holistic view of financial crime risk.
Financial crime risk dashboards give you a holistic view of your financial crime risk and enhance your risk coverage by visually identifying points of optimization and emerging risks and typologies across large volumes of data.
Dramatically reduce false positives and easily identify anomalies.
Using dynamic segmentation, you can create smart peer groupings to set risk-based thresholds, vastly reduce false positives and easily identify anomalies in dynamically changing patterns and behaviors.
Proactively prevent financial crime activities.
Use predictive analytics and model-based scenarios to detect financial crime threats at an early stage and look into hundreds of financial crime features that are otherwise difficult to maintain using traditional rule-based scenarios. This results in the proactive prevention and reporting of financial crime activities to authorities.
Improve efficiency by focusing on high-risk cases.
Utilize machine learning models to effectively learn from past decisions, intelligently prioritize and expedite the investigation of high-risk cases, and hibernate low-risk events until they are deemed worthy of investigation.
Uncover hidden risks.
Leverage entity resolution, pattern matching and network detection techniques to identify unique entities and uncover hidden risks and relationships to both enhance investigations and alert on complex financial crime patterns and methods.
Get to Know SAS Financial Crimes Analytics
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