SAS Anti-Money Laundering

Fight money laundering and terrorist financing with AI, machine learning, intelligent automation and advanced network visualization.

The Forrester Wave: Anti-Money Laundering Solutions, Q3 2022

SAS scored an almost perfect 4.85/5 on our current offering.

Stay ahead of emerging risks and changing regulations. SAS has helped financial institutions achieve more than 90% model accuracy, reduce false positives by up to 80% and improve the SAR conversion rate fourfold.

Expose complex, hidden networks.

Quickly uncover emerging, complex money laundering and terrorist financing threats with network and entity generation processes that automatically build network diagrams and reveal hidden relationships. Advanced analytics enables entity resolution by looking at multiple data sources and references to a customer, then accounting for inconsistencies, errors, abbreviations and incomplete records to help determine whether they relate to the same entity.

Improve operational efficiency.

Empower AML investigators with an integrated, configurable, user-friendly alert and case management solution that offers self-service capabilities and intelligently prioritized alerts for expedient triage, investigation and disposition. An interactive, drag-and-drop page builder lets administrative users configure settings, views and workflows to tailor the application for unique business or user requirements.

Rely on comprehensive suspicious activity monitoring and reporting.

Gain more comprehensive risk coverage with a hybrid approach to monitoring transactions. This approach combines proven rules to detect known risks with advanced analytic techniques – including machine learning, deep learning and AI – to identify unknown risks and hidden relationships. Administrative users can create, govern and update program-defined monitoring rules with a custom, built-in scenario builder. Integrated workflow management helps AML teams seamlessly create cases and file regulatory reports with government authorities.

Comply with customer due diligence and beneficial ownership rules.

Quickly verify customer information at account opening using customer onboarding capabilities. Our risk-based, scalable approach supports the complete customer life cycle – from initial onboarding to ongoing customer due diligence efforts. Analysts and investigators can review events on a continuous basis – as they happen – instead of reviewing over longer time intervals. Sophisticated visualization capabilities allow AML investigators to quickly spot and monitor beneficial owners.

Screen customers and transactions against watchlists.

Screen transactions and customers in batch against a wide variety of watchlists. Our superior scoring algorithm − with organization-specific filtering rules, unique name matching analytics, multilingual screening capability and alert consolidation − generates high-quality hits with low false positives.

Gain complete transparency.

Ensure success with internal model governance boards and external regulators through an open box (transparent) environment. SAS Anti-Money Laundering offers complete visibility into scenarios that trigger red flags and provides clear explanations regarding alert generation for outcome auditing.

Key Features

Get unprecedented prediction and detection capabilities, the lowest false positives, and reduced investigation times – while decreasing overall compliance costs – with our sophisticated, end-to-end anti-money laundering solution.

Comprehensive solution

Supports transaction monitoring, customer due diligence, onboarding, watchlist screening, case management and regulatory reporting on a single, integrated platform powered by AI, machine learning, robotic process automation and advanced network analytics.

Data orchestration

Centralizes the enrichment and transformation of multiple data types – including transaction data, nonmonetary event data, geographic data, risk lists, third-party data and a variety of other customer data – to get it analytics-ready.

Nimble platform

Unites all analytical tasks – from data access, preparation, interactive exploration, optimization, machine learning, AI and other advanced model development to deployment activities – in a cohesive, open, high-performance environment.

Entity-centric investigations

Provides a holistic view of risk with entity analytics that enables AML analysts and investigators to visualize complete networks through the network viewer and dive deep into relationships using link expansion.

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