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 improved 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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Customer Story
자금세탁 범죄에 맞서는 이스라엘의 위험 기반 전략SAS® Anti-Money Laundering 활용으로 의심스러운 활동을 모니터링하고 까다로운 규제 요건을 준수할 수 있게 되었습니다.
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Customer Story
자금세탁 방지 활동을 지원하는 분석 기술Landsbankinn은 SAS 활용으로 인해 오탐지를 줄이고 조사 절차를 간소화할 수 있었습니다.
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Customer Story
북유럽 120개 은행의 범죄 예방 및 규정 준수SDC는 북유럽 지역 4개 국가의 중소 금융 기관들이 규정을 준수할 수 있도록 돕고 있습니다.
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White Paper
머신러닝을 활용한 금융 범죄 대응 사례귀사의 사기 방지 및 금융 범죄 시스템은 진화하고 있습니까? 일반적인 규칙 기반 시스템만으로는 알려지지 않은 사기 계획을 적발하거나, 새로운 금융 범죄 수법을 처리하기에는 부족합니다. 바로 머신러닝을 도입해야 하는 이유입니다. 머신러닝을 구현하는 현실적이고 실현 가능한 10가지 방법을 확인해보십시오.
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White Paper
AI를 활용한 자금 세탁과 테러 자금 조달 방지 사례인공 지능(AI), 기계 학습(ML) 및 로봇 프로세스 자동화(RPA)가 어떻게 기업이 문제를 극복하고 결과를 개선하며 자금 세탁/테러 자금 조달 방지 프로그램을 보다 효율적이고 효과적으로 만드는 데 도움이 되는지 확인하십시오.
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White Paper
차세대 AML이란?금융 서비스 산업이 급격한 디지털 전환을 겪고 있고, 규제 당국이 ‘합리적’ 규제의 수위를 계속 높이는 가운데 차세대 AML이 떠오르고 있습니다. 로봇 공학과 의미 분석, 인공 지능, 특히 머신 러닝을 통해 진화하고 있는 AML에 대해 알아보십시오.
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