Fraud & Financial Crimes Compliance for Banks

Superior detection. Better prevention. Trusted protection.

How SAS Delivers Better Fraud & Financial Crimes Compliance

Enhanced fraud detection. Efficient, effective investigations. Consolidated suspicious activity monitoring and reporting. Proactive protection through advanced analytics, AI, machine learning and regtech technologies.

Anti-money laundering

Adopt an advanced strategy for detecting suspicious transactions in areas such as AML, CFT sanctions screening and beneficial ownership.
Take a risk-based approach using hybrid analytics to manage alerts, test scenarios, respond faster to evolving risks and comply with banking regulations.

Learn about our AML solutions

Identity & digital fraud

Get a 360-degree view of your customers to better balance security and convenience.
Detect and adapt to new identity fraud trends in real time.
Centrally access and manage third-party identity data.
Reduce false positives with layered analytic methods.
Easily scale with custom-built or plug-and-play strategies.

Learn about our identity & digital fraud solutions

Payments fraud

Find fraud early through embedded machine learning capabilities that adapt to changes in customer transactions and behavior.
Address the proliferation of identity theft and synthetic identities.
Find more fraud and reduce false positives by processing all data – in real time or in batch – using a powerful fraud analytics engine with embedded AI and machine learning techniques.

Learn about our payments fraud solutions

Why do banks choose SAS for fraud & financial crimes compliance solutions?

Find fraud faster. Stop it sooner. All while reducing false positives and improving the efficiency of investigations.

Get cross-channel visibility

Aggregate and cleanse internal and external data from all relevant sources with a single, integrated analytics platform.

Score 100% of all transactions on demand

Get real-time integration to authorization systems around the globe and use an online scoring engine that scores data in real time for greater accuracy.

Visualize linkages among seemingly unrelated transactions

Uncover previously unknown relationships using link analysis and continuous, automated, event-based monitoring.

Find more fraud

Implement a hybrid analytic approach that uses multilayered detection methods to find fraud at the individual transaction, account, customer and/or network level.