Managing supervised and unsupervised machine learning risk scoring algorithms is intuitive and offers robust model explainability. Visual tools allow for creating and managing entity (customer) segments for risk scoring models. In investigators’ queue management, case routing prioritization is flexible and configurable.
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- Customer Story Preventing crime and ensuring compliance at 120 Nordic banksSDC enables small and medium financial institutions in four Nordic countries to stay compliant.
- 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.
- Аналитический отчет Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent Datos Insights report, Matrix: Leading Fraud & AML Machine Learning Platforms.
- Технический документ The Escalation of Digital FraudThis Javelin Research report is based on 120 independent interviews of payment and security executives in 20 countries and delivers a clear picture of how digital fraud has changed the global operating environment for financial institutions.
- Технический документ Managing Fraud Risk in the Digital Age The rise of mobile and online transactions introduces new fraud risks. Retailers and payment processors must adapt their anti-fraud defenses, augmenting them with stronger, analytics-driven authentication, proactive detection and mitigation tools.
- Технический документ Developing Trust: Uniting Fraud and Consumer Experience Through Digital IdentityFraud and CX used to have a contentious relationship. But with strong foundational digital identity infrastructure, fraud efforts can provide greater insight into the user to enable CX teams to build improved services and offerings.
- Технический документ Payments Without BordersMitigating fraud risks in cashless payments by holistically understanding your customers across all channels.
- 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.
- Технический документ Proactive anti-financial crime strategies to improve compliance and reduce riskIn today’s fast-changing landscape, become more effective across all stages of AML investigations by following this framework and shift to a proactive, risk-based approach.
- Технический документ Advanced Analytics For Dissolving Data SilosThe growing need for data storage has heightened the proliferation of data silos. Readers will learn how organizations can apply machine learning and artificial intelligence to battle fraud, confirm customer identities and build data systems to avoid potential silos.
- Article Аналитика SAS помогает финансовым разведкам выявлять риски и типологии отмывания денегSAS Россия/СНГ приняла участие в совместной встрече экспертов FATF по типологиям отмывания денег и финансирования терроризма, а также оценке рисков, и представила методологию разработанного подхода экспертам в области ПОД/ФТ из зарубежных ПФР и международных организаций.
- 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 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor AssessmentLearn why SAS is positioned in the Leaders category in the 2022 IDC MarketScape for worldwide responsible artificial intelligence for integrated financial crime management platforms.
- Customer Story Financial lender cuts third-party fraud by more than 80% with layered detectionAxcess Financial uses SAS Identity 360 to dramatically reduce fraud losses and boost customer satisfaction.
- Технический документ Detect and prevent digital banking fraudDiscover how banks can fight identity-based fraud attacks using proven analytical methods to detect the fraudsters while expediting service for legitimate customers.
- 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.
- Article Online fraud: Increased threats in a real-time worldOnline and mobile banking is convenient for customers -- and an opportunity for fraudsters. With fraud methods constantly evolving, an analytical approach is a must for banks seeking early, accurate detection.
- Технический документ Next-generation AMLSix tips to modernize your fight against money laundering.
- 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.
- Article Личные данные – лучший подарок мошенникам на зимние праздникиВ период праздников у нас слишком много хлопот и безумный ритм жизни. Мошенники пользуются нашим положением, поэтому в это время как никогда важно защитить себя от кражи личных данных.
- Технический документ Leveraging Analytics to Combat Digital Fraud in Financial OrganizationsInternational Institute for Analytics summarizes key questions and answers about financial fraud in the digital age.
- Технический документ Balancing Fraud Detection and the Customer Experience Customers of a digital business create an intricate online footprint as they transact online. Businesses that capture and truly understand a complete identity based on online and offline attributes can seamlessly authenticate good customers and reliably spot the fraudulent or hijacked identities – in real time.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022SAS Anti-Money Laundering, which helps fight money laundering and terrorist financing with AI, machine learning, intelligent automation and advanced network visualization, is named a Leader in The Forrester Wave.
- Технический документ Rethinking customer due diligenceHelp evaluate your organization's CDD processes and technology relative to current industry risks and regulatory requirements.
- Customer Story Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
- Технический документ Using Digital Identity To Unleash Organizational DataCustomer experience focuses on speed and ease of access, lowering friction where possible. However, this approach has the potential to open up an organization to fraudulent attacks.
- Аналитический отчет Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor AnalysisChartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023 has named SAS a category leader for enterprise fraud solutions.
- 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.
- 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?
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