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.
Посмотрите SAS® Anti-Money Laundering в действии.
Узнайте больше о SAS® Anti-Money Laundering
Чтобы просмотреть ресурсы по типу, выберите один из вариантов ниже.
-
- Выберите тип ресурса
- Аналитический отчет
- E-Book
- Оперативная сводка
- Справка
- Industry Overview
- Краткое описание продукта
- Обзорная брошюра
- Краткое описание решения
- Технический документ
- Технический документ
- Article
- Blog Post
- Book Excerpt
- Case Study
- Infographic
- Interview
- Research
- Series
- Video
- Вебинар
- Customer Story
-
Технический документ
Banking in 2035: global banking survey reportWhat trends do banking leaders consider to be the greatest risks and the greatest opportunities? What internal and external barriers stand in their way? What technologies will help them harness the opportunities ahead? Download the report to explore.
-
Технический документ
Banking in 2035: three possible futuresThis paper explores how the major forces affecting banks may evolve between now and 2035, seen through the lens of three potential scenarios.
-
Технический документ
AML ModernizationThis white paper explores current organizational challenges, outlines the benefits of new AML technology adoption, and identifies how to embark on a journey of discovery and modernization.
-
Технический документ
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism See how artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) are helping firms overcome the challenges, improve results and make AML/CFT programs more efficient and effective.
-
Технический документ
What is next-generation AML? The fight against financial crime fortified with robotics, semantic analysis and artificial intelligence
-
Технический документ
Rethinking customer due diligenceHelp evaluate your organization's CDD processes and technology relative to current industry risks and regulatory requirements.
-
Технический документ
How AI and Machine Learning Are Redefining Anti-Money LaunderingMachine learning can play a big role in the defense against money laundering, either to automate tasks that formerly required human intervention, such as managing the data to train models, or detect more financial crimes risk that rules and more basic analytic techniques might miss.
-
Технический документ
Fighting Money Laundering with Intelligent AutomationThe world of money laundering and other financial crimes is changing rapidly. This International Institute for Analytics research brief shows how fraudsters and money launderers keep getting more sophisticated.
-
E-Book
Fight money laundering with these 5 next-gen game changers from SASEffectively battling dynamic financial crime threats requires new capabilities for AML defense – such as artificial intelligence, machine learning, intelligent automation and advanced visualization.
-
Аналитический отчет
Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022SAS is named a category leader in the Chartis RiskTech Quadrant for Trade-Based AML Solutions, 2022.
-
Аналитический отчет
Aite Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent AiteNovarica report, Aite Matrix: Leading Fraud & AML Machine Learning Platforms.
-
Аналитический отчет
Chartis RiskTech100 2022SAS is the only vendor to earn a Top 5 rank in the Chartis RiskTech100 each year since its 2005 debut. SAS also won three solution categories – Risk and Finance Integration, IFRS 9 and Trade-Based AML – for 2022.
-
E-Book
Технический документ
Как эффективно бороться с легализацией преступных доходов 5 шагов к успехуКомпания SAS провела исследование и идентифицировала 5 шагов необходимых для эффективной модернизации ПОД/ФТ структуры, с помощью таких инструментов, как искусственный интеллект (ИИ), машинное обучение, интеллектуальная автоматизация и расширенная визуализация.
-
E-Book
Как эффективно бороться с легализацией преступных доходов, 5 шагов к успехуЭффективная борьба с динамичными угрозами финансовой преступности требует новых возможностей для защиты, таких как искусственный интеллект, машинное обучение, интеллектуальная автоматизация и расширенная визуализация.
-
Customer Story
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
-
Технический документ
Что такое AML нового поколения? Борьба с финансовыми преступлениями подкрепляется робототехникой, семантическим анализом и искусственным интеллектом
-
Технический документ
ИИ находится в авангарде борьбы с отмыванием денег и финансированием терроризма Узнайте, как искусственный интеллект (ИИ), машинное обучение (ML) и роботизированная автоматизация процессов (RPA) помогают компаниям преодолевать проблемы, улучшать результаты и делать программы AML/CFT более эффективными и действенными.
-
Технический документ
Как искусственный интеллект и машинное обучение переосмывают борьбу с отмыванием денегМашинное обучение может играть большую роль в защите от отмывания денег, либо для автоматизации задач, ранее требовавших вмешательства человека, таких как управление данными для обучения моделей, либо для выявления большего риска финансовых преступлений, которые могут пропустить правила и более элементарные аналитические методы.
-
E-Book
Как эффективно бороться с легализацией преступных доходов 5 шагов к успехуТекущая действительность требует неотложных действий по модернизации и внедрению инновационных подходов с решениями AML следующего поколения. Финансовые организации могут удовлетворить эти потребности с помощью комплексного, надежного решения, которое в полной мере использует данные и аналитику для устранения пробелов в функциональности, присущих процессам многих организаций.
-
Customer Story
Preventing crime and ensuring compliance at 120 Nordic banksSDC enables small and medium financial institutions in four Nordic countries to stay compliant.
-
Article
Мобильные платежи, смурфы и новые угрозыИнновации охватили весь мир – даже где-нибудь в глухой кенийской деревне мобильный телефон служит местному жителю виртуальным кошельком. Но почему эта новая технология может стать потенциальным препятствием в борьбе с отмыванием доходов?
