SAS Anti-Money Laundering
Automate manual investigative processes and improve regulatory report conversion rates three to five times beyond conventional rule-based methods with an AML compliance solution that has been deployed across hundreds of financial institutions.
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Detect complex threats with industry-leading AI and machine learning capabilities
Take a multidimensional approach to identifying complex threats, such as virtual currencies, human trafficking, trade-based money laundering and drug trafficking. Combine proven, out-of-the-box scenarios with industry data to identify unknown relationships through network analytics. Join our innovative clients who augment traditional approaches with SAS’ award-winning AI and machine learning capabilities to identify complex anomalies.
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Adopt perpetual know your customer (KYC) best practices
An integrated customer due diligence/enhanced due diligence (CDD/EDD) capability monitors changes in demographic characteristics that influence client risk ratings and behavior-based triggers from transaction monitoring processes to trigger enhanced due diligence reviews. The EDD workflow prompts analysts with dynamic checklists to ensure consistent capture of KYC information. Network analytics provides a visual metaphor of hidden relationships and notable risks for quickly identifying ultimate beneficial owners.
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Meet your business needs with open administration
With low-code/no-code system administration, your institution can tailor the system to meet the needs of your business without requiring technical consultants. User-friendly, intuitive open administration capabilities offer a simple drag-and-drop visual interface for authoring surveillance scenarios, designing end-user screens, configuring dynamic workflows, and exploration and reporting.
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Improve efficiency with enhanced entity resolution
The system summarizes potential suspicious activity from scenario-fired events at a customer or counterparty dimension, significantly enhancing efficiency compared with transaction-level reviews. Our real-time network and entity generation capabilities empower you to predict relationships, resolve entities by deduplicating entity records, plug intelligence gaps and uncover hidden relationships in real time based on the latest data without the need to execute long overnight batch jobs.
Key features
Fully end-to-end
Encompasses data integration, data quality, entity resolution, automated monitoring, AI/machine learning, investigation management and reporting – all on one unified platform to address your entire compliance life cycle needs.
A modern, nimble platform
Accelerates the analytics life cycle via an innovative, cloud-native architecture that enables faster deployment cycles, access to the most advanced features and frictionless scalability.
No-code/low-code interface
Offers a simple point-and-click visual interface for optimizing AML strategies and deploying SAS machine learning capabilities.
Transparency & explainability
Provides visibility into the decisions made by AI/ML models so AML teams can understand why activities were flagged and explain those outcomes and decisions to auditors, model governance staff and regulatory examiners.
Recommended anti-money laundering resources
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White Paper
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
White Paper
How AI and Machine Learning Are Redefining Anti-Money Laundering -
White Paper
Explainable Artificial Intelligence for Anti-Money Laundering -
Solution Brief
Real-Time Watchlist Screening -
História do cliente
Harnessing data to help people live healthier lives -
Solution Brief
Anti-money laundering -
História do cliente
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
Artigo
The great divide: Getting convergence right this time -
Artigo
4 strategies that will change your approach to fraud detection -
White Paper
Proactive anti-financial crime strategies to improve compliance and reduce risk -
White Paper
Next-generation AML -
White Paper
Banking in 2035: global banking survey report -
White Paper
Banking in 2035: three possible futures -
História do cliente
Fighting financial crime through a global anti-money laundering platform -
História do cliente
A risk-based approach to combat money laundering in Israel -
Artigo
Next generation anti-money laundering: robotics, semantic analysis and AI -
Artigo
Rethink customer due diligence -
White Paper
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
História do cliente
Preventing crime and ensuring compliance at 120 Nordic banks -
História do cliente
Fast analytical defense -
História do cliente
Analytics powers anti-money laundering efforts -
Artigo
Mobile payments, smurfs and emerging threats -
White Paper
AML Modernization