SAS ranks No. 2 overall in the prestigious Chartis RiskTech100, 2026 – with 7 category wins
SAS holds a strong second place overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested seven technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Capital Optimization, Enterprise Stress Testing, IFRS9 and Model Risk Management.
With its broad range of applications, tools and domain-specific data management capabilities, SAS is well-placed to restructure the technology landscape in risk and finance, offering robust solutions to institutions that require innovative platforms across the decisioning life cycle.
SAS’ second place in RiskTech100 reflects the scale, diversity and depth of its offerings. Alongside effective decisioning and a robust analytical platform and tools, it continues to offer a broad range of applications for insurance, banking and related areas that include IFRS 9, IFRS 17, retail banking analytics, model governance, stress testing and dynamic actuarial modeling." Sid Dash Chief Researcher, Chartis
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고객 사례
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.
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웨비나
Visualizing the Nesting Dolls: Uncovering Hidden Risk Join us for this webinar to learn how to use analytics to help financial institutions uncover hidden risks beyond the first degree.
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고객 사례
고급 분석으로 고객 경험 개선은행들은 고객에게 더 나은 서비스를 제공하고 고객을 유지 및 확보할 수 있는 새로운 방법을 찾기 위해 도전하고 있습니다. Seacoast Bank는 SAS Viya와 SAS Visual Analytics를 활용하여 은행이 보유하고 있는 수많은 고객 데이터로부터 고객의 요구와 요구에 대한 통찰력을 얻을 수 있었습니다.
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백서
Artificial Intelligence in Banking and Risk ManagementGlobal Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.
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고객 사례
Swiss financial institution uses advanced analytics to reimagine marketing and personalize customer experiencesPostFinance turns to SAS to automate and optimize campaigns for improved offers, more effective communications and higher response rates.
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웨비나
Generative AI in Fraud and Financial CrimesChallenges and opportunities for financial institutions
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백서
Compete and win with better model risk managementAs explored in this paper, models can degrade over time, and sound model risk management (MRM) is the key to managing this risk.
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기사
Model risk management: Vital to regulatory and business sustainabilitySloppy model risk management can lead to failure to gain regulatory approval for capital plans, financial loss, damage to a bank's reputation and loss of shareholder value. Learn how to improve model risk management by establishing controls and guidelines to measure and address model risk at every stage of the life cycle.
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백서
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.
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고객 사례
Fighting loan application fraud with cutting-edge analyticsBausparkasse Schwäbisch Hall uses SAS® Viya® to identify forged income documents
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웨비나
2025 Trends in Global BankingDiscover the pivotal trends shaping the future of global banking in 2025 – and beyond.
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기사
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.
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백서
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.
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분석 보고서
SAS는 The Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다.분석가 보고서 SAS는 The Forrester Wave ™ he Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다.
SAS는 The Forrester Wave ™ he Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다.
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고객 사례
Building reliability in riskBanca Mediolanum uses SAS Viya to develop high-performing, reliable credit scoring models.
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기사
Risk capital and lessons from the TitanicEconomic capital is that something extra that senior management needs for staying financially afloat in tough economic times. SAS uses the tale of the Titanic to describe risk capital risk management best practices.
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분석 보고서
Datos Matrix: Fraud and AML Case Management, 2025As one of the most established brands in financial crime solutions and applied analytics, SAS scored highest among all the vendors surveyed in terms of stability. It has client retention rates of more than 90% and sales and support staff in all markets globally.
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웨비나
2022 Trends in Digital Fraud: ATOs, Scams and SolutionsAs digital channel adoption continues to surge, learn how advanced analytics helps financial institutions increase awareness, detection and prevention of growing scam activity
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웨비나
Catalyzing Banking Innovation With SAS® Viya® on Microsoft Azure Learn how cloud-native, open source analytics platforms enable data scientists to move faster and work smarter than ever.
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백서
Designing the Infrastructure for Credit Risk Model DevelopmentExplore the most common problems organizations face when setting up infrastructure for analytics – and credit risk modeling specifically – and learn about ways to increase productivity and reduce problems through better planning and design.
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웨비나
Anti-Fraud and Financial Crime Key Trends Pulse CheckJoin us for this midyear pulse check as we discuss emerging threats and the most effective ways to combat them.
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백서
Maintaining Customer Trust with Martech in Small and Medium-Sized BusinessesFor small and medium-sized businesses (SMBs), marketing technology is essential for staying competitive and building customer trust. A recent Harvard Business Review Analytic Services survey found that 81% of respondents believe martech has a significant impact on fostering trust with customers. It helps SMBs tackle challenges like limited budgets, measuring ROI and team alignment, enabling them to deliver consistent messaging, personalize experiences and work more efficiently. Looking ahead, generative AI is opening up new opportunities for SMBs to evolve their marketing strategies, innovate and stay ahead in an ever-changing market.
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웨비나
The Autonomous Bank: A Clubhouse Conversation on Agentic AI and the Future of Finance Join SAS and AWS leaders for an intimate, interactive Clubhouse-style conversation designed for senior executives navigating the shift to autonomous AI in financial services.
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백서
Protect the Integrity of the Procurement FunctionProcurement fraud affects nearly one-third of organizations, and it is often perpetrated by the most trusted, longtime employees, the ones you’d least suspect. Learn from two white-collar crime specialists about common flavors of procurement fraud, striking examples from recent headlines, four fundamental ways to get better at detecting and preventing fraud, and how to take procurement integrity to the next level.
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고객 사례
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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기사
Data quality: The Achilles' heel of risk managementGiven the tightly regulated environment banks face today, the importance of data quality cannot be overstated. Beyond the obvious benefits of staying one step ahead of regulatory mandates, having accurate, integrated and transparent data drives confident, proactive decisions and supports a solid risk management foundation.
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고객 사례
Making faster, smarter credit decisions while elevating customer experienceAutomated credit risk management process puts ABBANK at the forefront of Vietnam’s credit revolution.
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E-BOOK
Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
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백서
Analytics Platform and Program: Keys to Success for Regulatory Compliance in Financial ServicesAdvanced analytics is at the heart of regulatory compliance processes in financial services. This paper discusses data enormity and preparation for analysis; flexibility in computing platforms; and a comprehensive program for data, analytics and models.
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기사
Improving customer experience with digital marketingAdvanced analytics can help bankers predict customer behavior and deliver personalized offers to customers just at the moment they're most open to receiving them.
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백서
Retail bank media networks: Monetize customer data with personalized offers and advertisingThe creation of a “retail bank media network” can drive more valuable next-best offers, generate new ad revenue, offset revenue shortfalls and increase shareholder value.
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웨비나
Navigating Economic Challenges: Building Resilience Through Integrated Risk ManagementLearn how to modernize ALM and liquidity risk management in turbulent times.
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기사
AI in banking: Survey reveals factors for successWhat do banking executives report about their experiences with AI? Where are they focusing today? What’s working? What are their plans for the future?
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웨비나
Bridging CECL Models Into Stress TestingJoin us to learn how to incorporate CECL estimates and methodologies into stress testing frameworks.
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고객 사례
Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
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기사
Risk data aggregation: Transparency, controls and governance are needed for data quality and reportingFinancial institutions’ data aggregation and reporting techniques and systems are receiving increased attention both internally and externally. Find out how to take a comprehensive approach to BCBS principles and risk data aggregation and management.
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웨비나
AI and Banking: Survey Reveals Success FactorsWhether you are a business or technology leader in banking, this must-attend webinar will give you a clearer, current, data-driven picture of the state of AI in banking and where it’s heading.
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기사
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.
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기사
Understanding capital requirementsCredit risk classification systems have been in use for a long time, and with the advent of Basel II, those systems became the basis for banks’ capital adequacy calculations. What is needed going forward is an efficient and honest dialogue between regulators and investors on capitalization.
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웨비나
Alignment: The Harmonic Convergence of Banking CXLearn how banks can use data and analytics to adapt and act in real time and provide better customer experiences.
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기사
How to uncover common point of purchaseBanks that want to stay ahead of CPP and contain the costs of fraud need to implement advanced anti-fraud techniques.
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백서
Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk ManagementA road map for those who are starting to build – or are rethinking their approach to – their stress testing infrastructure and strategy.
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웨비나
Understanding Your Customer in a Digitized LandscapeExperts from SAS and Javelin Strategy & Research discuss the pandemic-driven increase in digital banking and its effects on the fraud landscape and the customer experience.
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백서
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.
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백서
Fighting Insurance Application Fraud Learn about the advantages of using analytics-driven methods for authenticating applicants to reveal customer gaming, agent gaming and potential future claims fraud.
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웨비나
SAS Identity Series: Your Identity Risk Management Strategy: From Obstacles to ActionJoin our experts in part 2 of the SAS Identity Series as we discuss how to effectively move your identity risk management strategy forward in the organization – from next steps to overcoming obstacles to successful execution.
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웨비나
Banking on AI: The 2026 Maturity PivotAn executive session with SAS and KPMG on scaling AI from promise to performance.
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분석 보고서
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024SAS is a category leader in the RiskTech Quadrant for Name and Transaction Screening Solutions within the Watchlist and Adverse Media Monitoring Solutions, 2024 report.
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웨비나
Cracking the Digital Identity Crisis With Fraud Analytics, AI and MLLearn how diving deep into data helps organizations gauge whether their customers are real and reduce losses from the fastest-growing financial crime in the US.
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백서
Tackle the Complexity of IFRS 9 and CECL StandardsThe US standard for CECL increases the complexity of the allowance estimation process. Outside the US, IFRS 9 is having the same effect. Learn about best practices for getting this right.
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분석 보고서
Chartis RiskTech Quadrant Asset and Liability Management, 2024SAS is named a category leader in Chartis Research's 2024 RiskTech Quadrant for ALM solutions, FTP solutions, LRM and reporting technology solutions, capital and balance sheet optimization solutions., hedging and risk management solutions, and financial planning and budgeting solutions.
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고객 사례
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.
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고객 사례
Revolutionizing fraud detection at TechcombankAward-winning Vietnamese bank slashes time needed for fraud detection to mere seconds using a SAS enterprise fraud solution.
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웨비나
Shell game shutdown: Redefining trade transaction monitoring with automation and analyticsLearn how and why financial institutions need to digitally transform decision processes to reduce the rising cost of trade finance compliance.
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백서
Migrating Analytics to the Cloud: It's About Time In this paper, SAS and the International Institute for Analytics (IIA) explore how to maximize the performance and value of analytics in the cloud, weigh the options, and choose the right approach to migration.
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E-BOOK
Future of Intelligent Banking: AI, Risk and Innovation in the Next Decadee-book
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고객 사례
Optimization delivers more revenue while slashing marketing costsMarketing optimization helps Akbank cut campaign costs by 50 percent, and dramatically reduce time spent producing campaigns from days to hours.
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백서
Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
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백서
Machine Learning Model GovernanceBanks are rapidly expanding their use of machine learning-enabled (ML) models, because they can provide step-level improvements in accuracy. But ML models need even more rigorous governance than traditional models. This paper explores what's required to implement effective ML model governance.
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백서
Firmwide Scenario Analysis and Stress TestingThis paper explores the two most commonly used firmwide scenario model approaches for stress testing, firmwide risk capital measures and how regulatory stress testing is different from the firmwide risk capital approach mandated by CCAR and EBA.
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기사
주요 선불카드 사기 수법선불카드는 수익성이 크지 않은 구조이므로 사기를 근절하는 것이 특히 중요합니다. 선불카드 사기를 방지하고 완화하기 위한 몇 가지 팁을 소개합니다.
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시리즈
Digital transformation: Moving from handshakes to householding at ComericaFor Comerica, digital transformation entailed developing a new approach for an online economy while maintaining it's heritage of one-to-one relationships.
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웨비나
The Interplay of Analytics With Strategy, Art and ExperienceLearn how marketers can pivot right now in the face of today’s unprecedented challenges.
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백서
Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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E-BOOK
5 Steps to a Unified Enterprise Customer Decisioning StrategyIn an era of unprecedented technology-driven disruption, banks are facing a dual challenge: Meeting rising customer expectations while navigating increasingly complex regulatory demands.
To remain competitive, banks must not only innovate but also streamline operations and foster greater collaboration across departments, breaking down traditional silos and working toward innovation.
How can banks simplify their operations, future-proof their services, and drive growth? Enterprise customer decisioning is the answer. This ebook describes five important steps to making better decisions faster with enterprise customer decisioning.
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백서
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.
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백서
Next-generation AMLSix tips to modernize your fight against money laundering.
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기사
What was your data doing during the financial crisis?Financial institutions usually survive a crisis, then react to prevent it in the future. SAS' Mazhar LeGhari explains how data can help you break that cycle.
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웨비나
The Importance of a Unified Decisioning Platform for Midmarket BanksLearn more about key industry trends and the shifting analytics landscape as midmarket banks seek to compete on digital transformation and customer experience.
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E-BOOK
Supercharge your ALM system: How treasury and finance departments can empower banks to brace for the unexpectedDuring a long period of economic stability, many financial institutions didn’t modernize their asset and liability management (ALM) programs to the same extent that they modernized other programs. The high-profile failures of several banks have since emphasized the importance of having a robust ALM program. As banks strive to enhance their ALM analytics to provide greater strategic business value, they must have a broader and more dynamic perspective of ALM – along with a comprehensive balance sheet management process that integrates multiple risk dimensions. Discover how SAS’ industry-leading analytical platform can help you achieve these goals.
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웨비나 Fraud Trends to Watch As banks modernize and compete for customers, fraud remains a significant challenge. Effective fraud prevention is essential for winning customers and growing profitably. Join our webinar to explore key data and trends, including how fraud mitigation has become a top investment priority.
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백서
Using Hybrid Cloud Capabilities for True Omnichannel MarketingSeamless, agile customer interactions require a marketing system that can collect data about a customer’s interactions and behavior across all touch points, regardless of underlying technology. Learn how SAS Customer Intelligence 360 lets you use both cloud and on-site channels and data to create an omnichannel marketing solution.
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고객 사례
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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백서
Risk Modeling and Decisioning White PaperThis white paper describes the urgent need to upgrade risk modeling and decisioning strategies in the banking/financial services industry and provides specific suggestions for improving them.
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웨비나
Enterprise Fraud and Financial Crimes Compliance: How Banks Need to AdaptAs fraud and financial crime grow more sophisticated in the digital landscape, learn how emerging tech is helping banks respond faster and build a more effective, proactive strategy to stay ahead.
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기사
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.
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고객 사례
Predictive analytics empowers bank to act quickly with confidenceOTP Bank Romania can better assess risk, meet profitability targets and enhance customer satisfaction through a streamlined data mining process from SAS.
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백서
Rethinking risk: Smarter models, better decisionsModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
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이벤트 자료
백서
Model Risk Management: Today's Governance and Future DirectionsA GARP-SAS Survey on Model Risk in the Age of Artificial Intelligence and Machine Learning.
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백서
The balance sheet risk conundrumHow SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times.
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고객 사례
Analytic models spotlight risky loansItaly’s Ministry of Economy and Finance uses advanced analytics on SAS Viya to quickly calculate risk on financial guarantees.
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백서
Climate Stress Testing Methodologies for BanksClimate risk stress testing is evolving fast. This UNEP FI report surveys 20+ global banks to benchmark practices, identify gaps and guide institutions on modeling, governance and regulatory readiness for a resilient future.
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웨비나
Generative AI Meets AML: Elevating Compliance Standards in Banking Join us as we explore real-world examples, key insights and what the future holds for GenAI in AML compliance.
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고객 사례
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
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백서
Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
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고객 사례
Azure 환경에서 SAS Viya를 통해 디지털 혁신을 추구하는 그리스의 선도 금융 기업Leading Greek financial institution pursues digital transformation backed by advanced analytics to become the bank of choice for businesses and private individuals.
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백서
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.
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기사
CECL: Are US banks and credit unions ready?CECL, current expected credit loss, is an accounting standard that requires US banking institutions and credit unions to estimate life-of-loan losses at origination or purchase.
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E-BOOK
5 Tips for Using GenAI to Improve Customer Experience Imagine predicting customer needs, automating tasks and generating personalized content — all while improving your bottom line. Generative AI is reshaping how businesses use data, enabling smarter decisions and streamlined operations. This guide offers actionable advice on how to harness GenAI's full potential, covering key tips for data management, governance and transparency. Ready to transform your business? Download the e-book now to discover how SAS and AWS can help you harness the power of GenAI.
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기사
Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
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백서
Transforming Risk ManagementBanks face unprecedented risk challenges - from geopolitical shifts to AI-driven disruption. This report, based on insights from 300 global banks, explores the transformation of risk management, from rethinking risk models to integrating AI and data strategies. Building on 2021 findings, this SAS and Longitude report tracks progress over three years and provides key insights for accelerating change.
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기사
Understanding capital requirements in light of Basel IVMany financial firms are already using a popular 2012 PIT-ness methodology for internal ratings-based models. This article examines eight ways the industry is successfully using the methodology – and why this approach can bring synergies for banks, value for regulators, and major competitive advantages.
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웨비나
Strengthening Deposits Through Predictive Churn Modeling and Improved Customer EngagementJoin us as we explore how financial institutions can improve deposits and deepen customer relationships by moving from reactive to proactive models of engagement.
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기사
4 strategies that will change your approach to fraud detection기술의 발전에 힘입어 금융 기관들은 그 어느 때보다 우수한 사기 탐지 기능으로 무장하고 있습니다. 방어망를 대폭 강화할 수 있는 4가지 방법을 소개합니다.
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고객 사례
Fintech company’s rapid growth leads to consistent cloud strategyauxmoney saves resources, gains flexibility and scalability with risk management in the SAS Cloud hosted on Microsoft Azure.
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분석 보고서
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025SAS offers a strong framework for quantifying the ROI of its AML solution for its potential and existing customers.
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기사
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.
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웨비나
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid CrisisCutting off illicit funds. Strengthening financial protections. Saving lives.
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기사
Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
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기사
What is a risk model?Banks use multiple models to meet a variety of regulations (such as IFRS 9, CECL and Basel). With increased scrutiny on model risk, bankers must establish a model risk management program for regulatory compliance and business benefits. Begin the planning by clearly defining what a risk model is.
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백서
Explainable Artificial Intelligence for Anti-Money LaunderingAn automated AML system should catch suspicious activity and be able to explain why it did so in a way that’s satisfactory to regulators. While machine learning techniques promise significant innovations for anti-money laundering efforts, they’re contained in "black boxes." This is hard to justify to regulators, and many financial institutions hesitate to invest in the technology for their AML programs. This paper takes a deep dive into how you can use explainable artificial intelligence (XAI) techniques to overcome this obstacle.
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웨비나
Banking Under Siege: Avoiding the Trust and Customer Experience Collision CourseLearn why protecting data privacy is critical to earning customers’ trust – and what banks must do to meet the latest regulations.
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웨비나 Reinforcing Compliance Programs: Future-Proofing with SASWith regulators ramping up oversight and traditional systems struggling to keep pace, it’s time to transform your approach to compliance.
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기사
Should banks adopt regulations as best practices?The regulatory tsunami isn't letting up, but is there value to be gained in adopting, for instance, BCBS 239 principles?
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백서
Seven trends that will transform bankingAdvanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
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기사
Retail cyber risk toleranceManage your data assets just as you would any of your physical assets by putting security plans in place for any and all contingencies.
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기사
Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
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고객 사례
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.
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고객 사례
Award-winning bank’s data-driven strategy boosts productivity, efficiency and customer centricityAn ‘analytics for all’ approach helps Banca Intesa Beograd foster informed decision making, innovation and sustainable growth.
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고객 사례
Low-risk strategy delivers top-level returnsBank Leumi uses SAS to achieve superior shareholder returns in a competitive environment and with high capital reserves.
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E-BOOK
Stress and Strategy: A C-Suite Guide to Scenario-Based Risk ManagementThis e-book from SAS and Argyle explores some of the ways that top-performing organizations are undertaking scenario-based risk assessment to develop and manage their business strategies.
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기사
Marketing optimization: Five lessons learned at a major US bankHow does a bank know what you need when you visit its website, open the mobile banking app or walk into the branch? For one of the largest banks in the US, the answer is marketing optimization. Here are five lessons they’ve learned.
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고객 사례
Banking on the power of data: The analytical approach to trust, performance and productivityIntesa Sanpaolo promotes a data-driven culture with support from SAS analytics.
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고객 사례
Stress testing becomes competitive advantage with advanced analyticsStandard Chartered Bank uses SAS Analytics to meet stress-testing requirements and assess the effect of crisis scenarios on its future P&L and balance sheet.
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백서
Anti-Fraud Technology As criminals find new ways to exploit technology and target potential victims, anti-fraud professionals must adopt new technologies to effectively navigate the evolving threat landscape.
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기사
Online payment fraud stops hereBillions of dollars each year are lost to online payment fraud through channels that provide convenient – yet vulnerable – ways to shop and bank. See how to fight back and win with advanced analytics.
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웨비나
One Step Ahead: Fight Fraudsters With Cutting-Edge TechnologyLearn about the anticipated trends, challenges and best practices for integrating technology – including AI, advanced analytics and robotic process automation – into your organization’s fraud management strategies.
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기사
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.
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분석 보고서
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024SAS is a category leader in Chartis' RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024. According to Chartis, SAS' AML transaction monitoring solutions emphasize speed, volume and performance.
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고객 사례
보고 체계 개선을 통한 위험 관리에 대한 이해 개선SAS Visual Analytics helps Erste Bank Croatia tackle diverse data for accurate analysis.
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백서
The road to integrationHow far along are financial institutions on their AI and machine learning adoption journey, and where might these technologies deliver the most value?To find out, SAS partnered with the Association of Certified Anti-Money Laundering Specialists (ACAMS) and KPMG to survey more than 850 compliance professionals and ACAMS members. This report provides a snapshot of the survey results, including: · How many institutions are using AI and ML, including GenAI.· Reasons for adopting (or not adopting) these technologies.·How far along those surveyed are on their integration journey.
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고객 사례
Calculating credit risk in half the timeTo stay compliant with Basel regulations, Yapi Kredi relies on SAS to handle millions of data sets.
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고객 사례
Stopping payment fraud in real timeThe Bank of East Asia uses SAS Fraud Management for payment fraud detection and prevention.
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고객 사례
자금세탁 방지 활동을 지원하는 분석 기술Landsbankinn은 SAS 활용으로 인해 오탐지를 줄이고 조사 절차를 간소화할 수 있었습니다.
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기사
Credit risk management is the answerLending and loan volume is back up to pre-crisis levels. But banks are facing higher delinquencies as well. That's why improving credit risk management is crucial.
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E-BOOK
Customer experience - now and into the futureExperience 2030: Research reveals 5 key themes driving customer experience. Build a forward-looking customer experience framework.
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백서
Basel IV: The push you neededIn a landscape of great uncertainty and the economic crisis sparked by COVID-19, financial institutions must address the challenges Basel IV will bring. An integrated risk management approach is the best path forward to meeting ever-evolving regulatory needs.
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백서
AI-powered solutions for a trillion-dollar problemWhite paper
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백서
Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
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분석 보고서
Chartis RiskTech Quadrant® for FRAML Solutions, 2023SAS achieved category leader status in the Chartis RiskTech Quadrant for FRAML Solutions, 2023.
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고객 사례
Cultivating a risk cultureBank of Baroda strengthens governance and fosters trust using SAS Governance and Compliance Manager.
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백서
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.
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백서
The future of trustWhite paper
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기사
시나리오 스트레스 테스트 : 규제 준수 이상의 사안.시나리오 스트레스 테스트는 은행에 다각도의 조건과 심각도 수준을 활용해, 금융 위기 대응 시뮬레이션을 진행 할 수있는 방법을 제공합니다.
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기사
New attitudes for liquidity risk managementRecent liquidity risk shocks and regulatory pressures have highlighted the need for agile liquidity risk management and planning systems. To manage liquidity risk more strategically, banks will need the right strategy, solution architecture and IT systems – plus governance to manage the process.
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분석 보고서
The Forrester Wave™: Enterprise Fraud Management, Q2 2024As noted in the Forrester evaluation, "SAS provides a broad selection of out-of-the-box EFM machine learning models. ."
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기사
Five myths and misconceptions community banks have about Basel IIIMyth No. 1: Basel II didn't pertain to us, so Basel III won't either. Wrong. The US Basel III Final Rule provides capital frameworks commensurate with bank size, so the rules apply to nearly all banks in the US. Myths 2-5...
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웨비나
A Contemporary Perspective: Our World at an Accelerated PaceUnderstanding that digital transformation is imperative for a seamless and integrated experience uniquely tailored to the needs and expectations of the client –central to success in a world of hyperconnectivity.
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백서
Journey to an integrated balance sheetThe increasing complexity of risk management in financial services, combined with current market volatility, has made a holistic understanding of risk both more urgent and more challenging. To maintain liquidity, ensure growth, navigate regulatory obstacles and gain a comprehensive view of risk, banks must meet the moment by embracing integrated balance sheet management at every level.This white paper examines the common challenges banks face when managing risk in today’s environment and outlines specific steps banks can take to build a more integrated and effective balance sheet management strategy.
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고객 사례
Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
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기사
IFRS 9 and CECL: The challenges of loss accounting standardsThe loss accounting standards, CECL and IFRS 9, change how credit losses are recognized and reported by financial institutions. Although there are key differences in the standards for CECL (US) and IFRS 9 (international), both require a more forward-looking approach to credit loss estimation.
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고객 사례
Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experienceItaly’s largest service distribution network relies on predictive analytics from SAS to detect fraud with greater precision and reduce losses.
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백서
Reimagine your financial institution’s customer experienceFinancial institutions’ customers are more demanding than ever. According to a report from Vericast, the nature of loyalty in banking is being redefined, with nearly half of customers (46%) open to either switching banks entirely or using
multiple institutions concurrently for different financial needs. These customers want highly relevant, personalized and seamless experiences with their financial
institutions (FIs), regardless of the channel or device they choose to use. And they’ll prioritize banking with financial institutions that can deliver it. Unfortunately, many are not getting what they are asking for. A Capgemini study on making
meaningful customer connections in the financial services industry reports that 52% of customers are
frustrated by poor communications with their FIs, and 44% are dissatisfied with digital channels that
are hard to navigate and provide experiences that are neither user-friendly nor tailored to their needs.
Banks and other FIs have a vast amount of valuable customer data at their disposal that could be used to meet the rising customer expectations for timely, and relevant personalized communications
including transaction history, demographics, spending behavior, credit ratings, browsing activity,
product ownership, etc. However, there is still much work to do in this area as well, particularly when it comes to tailoring
customer engagement using the data banks routinely collect.
In fact, 71% of the FI executives surveyed told Capgemini that understanding customer
motivations and preferences is critical to growth, but 54% acknowledge they don’t understand
their customers well enough to embrace a truly customer-centric strategy. The Capgemini study also revealed 87% lack a centralized customer view and intelligent
decisioning capability, and 85% do not use advanced behavioral targeting and customer
behavior data for precise targeting.
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백서
Outrunning risk with cloudBy employing cloud-based risk modeling and decisioning capabilities, banks can make faster, more sophisticated risk calculations that keep them one step ahead of existing and emerging threats.
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백서
Building a foundation for innovation: Five steps to keep your AML program efficient and effectiveWhite paper
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백서
The Value of Credit Risk Transformations and the Role of AIAs banks seek continued progress in their credit risk transformation journey, the insights gathered by SAS and GARP reveal the obstacles they face.
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분석 보고서
Chartis RiskTech100, 2026SAS ranks #2 overall in the prestigious Chartis RiskTech100, 2026. Seven category wins are AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, Capital Optimization, IFRS 9 and Model Risk Management.
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분석 보고서
Chartis RiskTech AI 50, 2025SAS holds a strong third place overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested two technology award categories – Responsible AI Adoption and Use of AI in Retail Banking.
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백서
CECL: Don't Neglect the FundamentalsFirms that proactively implement a CECL process that is controlled, efficient, collaborative and sustainable will find themselves with a competitive advantage over time. This paper discusses the long-term benefits of this holistic approach.
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E-BOOK
Personalized advertising that you controlBanks that control their own personalization models, data and ad delivery ultimately deliver a better customer experience.
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분석 보고서
Chartis RiskTech Quadrant for Model Risk Management, 2024Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2024.
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백서
The balance sheet risk conundrumDiscover five key elements required to achieve the most possible value from a modernized ALM and liquidity risk management program.
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백서
Designing the Infrastructure for Credit Risk Model Development and Deployment in UtilitiesExplore the challenges of setting up credit risk modeling – and how to establish an effective program through better planning and design.
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E-BOOK
Adapting to the New Age of Risk AnalyticsRapid advancements in technology are leading to a new age of risk analytics. The availability of commercial and open source software – coupled with significantly improved integration using industry standard tools – has made analytics more user friendly, expanding its reach to a broader range of business professionals.
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기사
Why banks need to evolve their approach to climate and ESG riskManaging environmental, social and governance (ESG) risk is important to banks, regulators, investors and consumers – yet there are many interpretations of how to do it. To thrive, organizations must evolve their risk management practices – including those affected by ESG risk.
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백서
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.
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백서
From Crisis to Opportunity: Redefining Risk ManagementHow a more automated approach to risk management can transform banks’ performance, during the pandemic and beyond.
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백서
Scenario-Based Risk Management: Overcoming the ChallengesAs regulatory stress test regimes mature, financial institutions are looking for ways to harness investments they made in stress testing programs to gain additional business value.
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회견
Data visualization: A wise investment in your big data futureData visualization technologies can help the practice of data-driven decision making really take hold. But putting data visualization software in the hands of business users? Is it crazy – or crazy smart?
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기사
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.
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백서
Building Artificial Intelligence in Credit Risk: A Commercial Lending PerspectiveWhat will it take for banks to trust artificial intelligence (AI) and machine learning (ML) with judgments about data accuracy and leverage it for commercial lending process automation?
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백서
Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about:
• The state of AI regulations globally.
• The multifaceted role insurers can play in developing AI ethics.
• Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today.
• An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
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E-BOOK
Securing the future: Proactive strategies to combat financial fraude-book
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웨비나
5 Tips for Using GenAI to Improve Your Customer ExperienceLearn how generative AI is reshaping CX for businesses across industries.
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웨비나
Journey to AML ModernizationEmbracing new technology and innovation around anti-money laundering programs offers financial institutions the opportunity to outpace financial crime.
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고객 사례
Hyper-personalized offers help consumer finance company elevate the customer experienceHome Credit modernizes its marketing with SAS® Customer Intelligence 360 to increase engagement, boost efficiency and reduce costs
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웨비나
GenAI’s Role in Transforming the Future of Financial ServicesHow generative AI is benefitting financial institutions today and where it may lead in the future
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E-BOOK
Unifying Model Management Across the BankHow banks can empower all departments to manage model risk effectively across the entire model life cycle.
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고객 사례
Finland’s top retail bank applies AI to improve customer service and credit scoringS-Bank provides better customer service and faster, more accurate loan processing time using SAS Viya on Azure.
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백서
Risk-Aware Finance and the Changing Nature of CreditNew research by Chartis and SAS highlights how financial institutions must align finance and risk departments to accurately assess future risks and bolster budgeting and forecasting capabilities. This paper explores how risk-aware finance is becoming essential to meeting future regulatory and competitive demands.
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웨비나
SAS Identity Series: Building a Business Case for Identity Risk ManagementJoin our panel of fraud, risk and innovation experts in part 1 of the SAS Identity Series as we explore how companies can most effectively connect with customers while mitigating identity fraud and risk.
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고객 사례
Forecasting helps Wescom Credit Union save millions of dollarsWescom Credit Union increases lending decision accuracy by at least 50%.
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E-BOOK
Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
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백서
Text Analytics for ExecutivesThis paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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웨비나
Banking Breakdown: The Wider Implications and What to Do NextJoin us for a discussion of the current banking turmoil and how risk technology and analytics can help improve stability during market volatility.
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사례 연구
Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
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웨비나
The Year Ahead: Banking Trends for 2024Embark on a journey of knowledge and foresight as we take a deep dive into pivotal trends that will shape banking in the coming year.
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기사
Under siege: Improving customer experience in bankingBanks are ranking low in customer satisfaction, but improvement is possible says Digital Banking Report owner and publisher Jim Marous.
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E-BOOK
Reimagining risk, modeling, and decisioningThe eBook addresses how SAS and Microsoft are modernizing credit risk modeling and decisioning for better customer experience.
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기사
Are you good at scoring?Credit scoring is the foundation for evaluating clients who apply for a loan (or other types of exposure for the bank). It is not unusual for it to take up to 12 months to build and deploy a new credit scoring model. Reforming the process will help minimize losses, increase earnings and reduce operational risk.
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백서
Decision science: From automation to optimizationThis Risk.net white paper explores decision science and automation and the efficiencies it brings, and offers insight into why automation – married with adaptable analytics – is now crucial.
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기사
IFRS 17 : 방치는 해답이 아닙니다.IFRS 17은 보험 계약의 미래 지향적 평가를 위한 원칙을 중요하게 여기는 회계 기준입니다. 재무 투명성을 높이기 위해 설계된 IFRS 17은 보험사에게 보험 및 재보험 계약이 재무 및 위험에 미치는 영향에 대해 더 자세히 보고하도록 요구합니다.
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기사
From lab to lifeOnce you've created your analytical model, you need to put it to use. Here are tips from finance industry experts to get your models in the hands of users.
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기사
Risk data infrastructure: Staying afloat on the regulatory floodWhat are the challenges of a risk data infrastructure and how can they be addressed? Here's what you need to know to build an effective enterprise risk and finance reporting warehouse that will effectively address compliance requirements.
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백서
Intelligent Decision Automation for Telecommunications in the Digital AgeLearn how communications providers who adapt and embrace analytics and AI will unlock opportunities by converting current processes to be reliably smart, such as credit risk, fraud and collections.
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E-BOOK
The Agentic Bank: A Field Guide to AI That Thinks, Acts and AdaptsAgentic AI is changing how banks operate – enabling real-time decisions, scalable automation and built-in governance. This guide lays out the 5 steps to build an agentic bank that adapts fast, stays compliant and keeps humans in the loop.