Augment your anti-financial-crime program with intelligent and trustworthy AI-powered decisions

SAS Financial Crimes Analytics Highlights

SAS Financial Crimes Analytics

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.




Key features

Easy data exploration & visualization

Lets you easily import your own data, build and run transformations, and augment and join data within an integrated visual pipeline of activities with a simple drag-and-drop interface.

Quick operationalization of analytical models

Operationalizes models quickly using automated techniques in just a few clicks – in batch and real time. A repeatable framework enables easy registration, validation, tracking, monitoring and retraining of analytical models to ensure they’re performing well.

Seamless integration

Uses advanced data management and powerful in-memory capabilities to integrate with your existing transaction monitoring platform. Works with your existing AML solutions, so there's no need to replace your current platform.

Easy-to-use analytics

Lets you visually explore and evaluate segments for further analysis using k-means clustering, scatter plots and detailed summary statistics. Use advanced machine learning techniques to build and refine predictive models to target specific groups or segments, run numerous what-if scenarios simultaneously, and process results for each group or segment without having to sort or index data each time.

Anti-financial crime optimization

Performs intelligent customer segmentation, entity resolution and scenario threshold tuning with above-the-line/below-the-line testing to generate more productive alerts, identify “true positives” and optimize overall transaction monitoring processes.

Cloud-native, elastic & scalable

Runs on SAS® Viya®, an elastic, scalable platform for public and private clouds. Rapidly processes large data sets and accelerates the complex analytics life cycle, from data preparation to discovery to deployment. The elasticity of compute and data environments supports growth in transaction volumes and complexity of model validation.


Recommended resources for SAS Financial Crime Services

Solution Brief

Financial Crimes Analytics

White Paper

Aite Novarica: AML Modernization, Embarking on the Journey

Analyst Report

IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022

White Paper

Proactive anti-financial crime strategies to improve compliance and reduce risk

White Paper

How AI and Machine Learning Are Redefining Anti-Money Laundering

Analyst Report

SAS is named a Best-in-Class Vendor in Aite Matrix: Leading Fraud & AML Machine Learning Platforms


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