SAS IS A LEADER
The Forrester Wave™: Enterprise Fraud Management, Q3 2021
SAS is the only vendor in the evaluation to earn a 5 out of 5 score in the model explainability and governance criterion.
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.
Explore More SAS Resources
To browse resources by type, select an option below.
-
- Select resource type
- 分析报告
- 电子书
- 白皮书
- 白皮书
- 文章
- 博客文章
- 书籍摘录
- 案例研究
- 信息图
- 访谈
- 研究
- 系列
- 视频
- 网络研讨会
- 客户案例
-
白皮书
Leveraging Analytics to Combat Digital Fraud in Financial OrganizationsInternational Institute for Analytics summarizes key questions and answers about financial fraud in the digital age.
-
文章
Rethink customer due diligenceTo streamline compliance and protect against financial and regulatory risk, re-examine your customer due diligence processes and technologies regularly. With new analytical tools, you can monitor customer transactions or personal information in real time, and accurately segment customers by the risk they represent.
-
文章
Payment fraud evolves fast – can we stay ahead?Payment fraud happens when a criminal steals a person’s private payment information, then uses it for an illegal transaction. As payment trends evolve, so do the fraudsters. Banks and PSPs can fight back with advanced analytics techniques that adapt quickly to spot anomalies in behavior.
-
客户案例
Fighting loan application fraud with cutting-edge analyticsBausparkasse Schwäbisch Hall uses SAS® Viya® to identify forged income documents
-
分析报告
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.
-
白皮书
Next-generation AMLSix tips to modernize your fight against money laundering.
-
文章
Top prepaid card fraud scamsThe margin for prepaid cards is slim, so it's particularly important to root out the scams. Here are some tips for combating and mitigating prepaid card fraud.
-
白皮书
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.
-
白皮书
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.
-
文章
如何发现共同购买点希望保持领先CPP并控制欺诈成本的银行需要实施高级反欺诈技术
-
客户案例
Preventing payment card fraud one transaction at a timeSAS helps Nets achieve the lowest payment card fraud levels in Europe.
-
白皮书
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.
-
文章
Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications ushered in many new payment fraud threats. Today, it’s more critical than ever to authenticate users. Learn four innovative to ways strengthen your authentication defenses while reducing false positives and protecting customers’ assets.
-
分析报告
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.
-
白皮书
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.
-
电子书
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.
-
分析报告
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.
-
白皮书
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.
-
分析报告
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.
-
客户案例
助力120家北欧银行预防犯罪并合规SDC赋能北欧四国的中小型金融机构遵守相关监管要求
-
白皮书
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.
-
白皮书
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.
-
白皮书
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.
-
客户案例
分析助力反洗钱工作SAS 帮助 Landsbankinn 减少误报和简化调查。
-
客户案例
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
-
客户案例
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.
-
白皮书
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.
-
白皮书
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.
-
文章
构筑反在线支付欺诈防线一家全球最大的金融机构如何打击手机和在线支付欺诈–实现共赢
-
白皮书
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.
-
客户案例
Combating financial crime and terrorism financing with real-time sanctions screeningOrange Bank stays ahead of emerging risks and changing regulations with a cloud-based sanctions-screening solution from SAS and Neterium.
-
客户案例
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SASTreezor uses SAS Anti-Money Laundering to stay ahead of emerging risks, improve operational efficiency and expedite investigations.
-
客户案例
Rooting out fraud and accelerating farm aid with advanced analyticsAGEA uses SAS Fraud Management on SAS Viya to transform agricultural aid for European Union countries.
-
文章
Mobile payments, smurfs and emerging threatsM-payment remittances are replacing traditional banks and money services that have historically charged high fees for small transfers. Former US Treasury Special Agent John Cassara maps what he sees in the road ahead and gives advice for protecting your firm.
-
文章
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.
-
文章
Next generation anti-money laundering: robotics, semantic analysis and AIAnti-money laundering taken to its next level is sometimes referred to as AML 2.0 or AML 3.0. What does this next wave of AML technology look like? What can it do that you can’t do with traditional AML? See the results innovative financial institutions around the globe are already getting.
-
文章
Managing fraud risk: 10 trends you need to watchSynthetic identities, credit washing and income misrepresentation – these are just some of the trends to watch if you’re trying to understand how to manage fraud risk. Find out what’s on the top 10 list of trends according to experts like Frank McKenna and Mary Ann Miller.
-
白皮书
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.
-
白皮书
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.
-
客户案例
Fighting financial crime through a global anti-money laundering platformBangkok Bank uses advanced analytics from SAS to meet expanding anti-money laundering requirements for global operations and ensure compliance keeps pace with dynamic regulatory frameworks.
-
分析报告
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.
-
白皮书
Payments Without BordersMitigating fraud risks in cashless payments by holistically understanding your customers across all channels.
-
客户案例
东亚银行使用SAS®欺诈管理解决方案侦测和阻断支付欺诈东亚银行使用SAS®欺诈管理解决方案侦测和阻断支付欺诈
-
文章
4 strategies that will change your approach to fraud detectionAs fraudulent activity grows and fighting fraud becomes more costly, financial institutions are turning to anti-fraud technology to build better arsenals for fraud detection. Discover four ways to improve your organization's risk posture.
-
白皮书
Rethinking customer due diligenceHelp evaluate your organization's CDD processes and technology relative to current industry risks and regulatory requirements.
-
客户案例
A risk-based approach to combat money laundering in IsraelSAS Anti-Money Laundering helps Ayalon Insurance monitor suspicious activity and meet challenging regulatory requirements.
-
文章
The best gift you can give to thieves this holiday season? Your identity.While the use of EMV in cards has helped to mitigate fraud perpetrated at retail stores, undeterred fraudsters have focused their efforts online. Find out how advanced analytics and machine learning help combat this threat.
© 2024, Forrester Research, Inc. All rights reserved. Unauthorized reproduction is strictly prohibited. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. Forrester®, Technographics®, Forrester Wave, RoleView, TechRadar, and Total Economic Impact are trademarks of Forrester Research, Inc. All trademarks are the property of their respective companies. Unauthorized copying or distributing is a violation of copyright law. To purchase reprints of this document, please email clientsupport@forrester.com. For additional information, go to www.forrester.com.