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.
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
- Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2023
- Chartis RiskTech Quadrant® for FRAML Solutions, 2023
- 고객 사례 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- 기사 The great divide: Getting convergence right this time
- 기사 4 strategies that will change your approach to fraud detection
- 백서 Proactive anti-financial crime strategies to improve compliance and reduce risk
- 백서 Banking in 2035: global banking survey report
- 백서 Banking in 2035: three possible futures
- 분석 보고서 SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022
- 분석 보고서 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment
- 분석 보고서 Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022
- 분석 보고서 Matrix: Leading Fraud & AML Machine Learning Platforms
- 고객 사례 Fighting financial crime through a global anti-money laundering platform
- 고객 사례 자금세탁 범죄에 맞서는 이스라엘의 위험 기반 전략
- 고객 사례 북유럽 120개 은행의 범죄 예방 및 규정 준수
- 고객 사례 Fast analytical defense
- 고객 사례 자금세탁 방지 활동을 지원하는 분석 기술
- 기사 Mobile payments, smurfs and emerging threats
- 기사 Rethink customer due diligence
- 백서 Rethinking customer due diligence
- E-BOOK Fight money laundering with these 5 next-gen game changers from SAS
- 백서 How AI and Machine Learning Are Redefining Anti-Money Laundering
- 백서 AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
- 백서 AML Modernization