SAS ranks No. 3 overall in the prestigious Chartis RiskTech100®, 2027 – with 12 category wins
SAS holds a strong third-place position overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested 12 technology award categories.
Since the report was first published in 2006, SAS has consistently been recognized as one of the industry's leading risk technology providers, including two #1 overall rankings and sustained placement among the market's top-ranked firms. These results reflect the expertise, innovation, and collaboration of teams across SAS and reinforce our position as a trusted leader in risk technology.
SAS' number three ranking in RiskTech100® 2027 recognizes its leadership in virtually all segments covered by the RiskTech100®. In addition, its dominance in risk and finance transformation (leadership in IFRS 17, IFRS 9, etc.), asset and liability management analytics and related tools (balance sheet optimization, innovation in conjoint modeling of interest rate and credit risk), behavioral models and retail banking decisioning is reflected in its 12 category awards, including IFRS 17 – Accounting Systems, IFRS 17 – Data Management and Reporting, IFRS 9, Enterprise Stress Testing, Balance Sheet Risk Management, Behavioral Modeling – Markets, Model Risk Management – Credit, Risk and Finance Integration, Cross-Functional Behavioral Analytics, ALM Analytics, Capital Optimization and Credit Risk for the Banking Book – Retail." Sid Dash Chief Researcher, Chartis
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Article
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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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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Webinar
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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White Paper
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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Article
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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E-Book
Securing the future: Proactive strategies to combat financial fraude-book
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Customer Story
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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White Paper
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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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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Article
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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Article
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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Webinar
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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Customer Story
Streamlining financial management with advanced analyticsFidelidade, Portugal’s leading insurance company, uses SAS Asset and Liability Management for strategic decision making.
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Customer Story
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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White Paper
Becoming the bank customers don't leaveFinancial 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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White Paper
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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Webinar
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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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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Customer Story
Reinventing credit risk management with integrated analytics and intelligent decisioningUOB transformed credit risk operations with SAS, delivering faster decisions, stronger governance and business value across Southeast Asia.
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Article
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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White Paper
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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Article
4 strategies to change your approach to fraud detectionFraud detection methods must evolve as fraud threats continue to evolve rapidly. See how financial institutions are using analytics and AI to refine their fraud strategies – and discover four ways to improve your organization's risk posture.
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Webinar
Bridging CECL Models Into Stress TestingJoin us to learn how to incorporate CECL estimates and methodologies into stress testing frameworks.
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Article
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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White Paper
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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Customer Story
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
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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Customer Story
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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Customer Story
Cultivating a risk cultureBank of Baroda strengthens governance and fosters trust using SAS Governance and Compliance Manager.
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Webinar
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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Analyst Report
Data and AI Impact Report: The Trust Imperative, 2025As the AI market matures, organizations must address both dimensions of trust to drive adoption and unlock the full transformative potential of artificial intelligence. Explore how organizations are approaching AI adoption and how they are embedding trust into their AI initiatives.
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Article
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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Article
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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Webinar
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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Article
How AI and advanced analytics are impacting the financial services industryTop SAS experts weigh in on topics that keep financial leaders up at night – like real-time payments and digital identity. See how advanced analytics and AI can help.
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White Paper
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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Article
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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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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Article
IFRS 9 and CECL: The challenges of loss accounting standardsThe loss accounting standards, CECL and IFRS 9, change how credit losses are recognised 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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Article
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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Webinar
Banking on AI: The 2026 Maturity PivotAn executive session with SAS and KPMG on scaling AI from promise to performance.
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Customer Story
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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Webinar
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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White Paper
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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Analyst Report
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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Customer Story
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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White Paper
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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Article
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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Webinar
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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Customer Story
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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White Paper
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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White Paper
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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Webinar 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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White Paper
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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Customer Story
AI and cloud fuel bank’s new era of fast, reliable credit risk reportingAbsa Bank streamlines reporting, optimizes compliance processes and advances model governance with SAS® Viya® on Amazon Web Services.
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Webinar
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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Customer Story
Automating credit decisions for a digital-first futureNexent Bank Romania relies on SAS Viya to facilitate real-time credit decisions, boosting productivity and customer satisfaction.
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Article
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.
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Webinar 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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Webinar
5 Tips for Using GenAI to Improve Your Customer ExperienceLearn how generative AI is reshaping CX for businesses across industries.
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Webinar
2025 Trends in Global BankingDiscover the pivotal trends shaping the future of global banking in 2025 – and beyond.
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Customer Story
Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
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Article
How to uncover common point of purchaseFraudsters use many techniques to steal card data. Banks that want to stay ahead of common point of purchase (CPP) and contain the costs of fraud need to implement advanced analytics techniques to strengthen their fraud prevention programs.
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Article
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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Article
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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White Paper
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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E-Book
Transform your data into an AI engineDiscover how a strong data foundation enables trusted AI. Explore data intelligence trends, real-world use cases and modernization strategies.
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Article
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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White Paper
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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Analyst Report
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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White Paper
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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Customer Story
Fintech company’s rapid growth leads to consistent cloud strategyauxmoney saves resources, gains flexibility and scalability with risk management in the cloud hosted on Microsoft Azure.
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Webinar
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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Customer Story
Forecasting helps Wescom Credit Union save millions of dollarsWescom Credit Union increases lending decision accuracy by at least 50%.
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Customer Story
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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Article
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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White Paper
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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Analyst Report
The Forrester Wave™: Real-Time Interaction Management, Q4 2025As noted in the Forrester report, SAS showcases its analytical expertise with a top-notch AI workbench, predictive modeling, real-time decisioning and performance optimization.
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Webinar
Who’s in Control? Designing, Governing and Trusting Agentic AI at Scale in BankingIn this executive webinar, SAS and AWS explore how banks can design, govern and scale agentic AI responsibly in highly regulated environments.
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Article
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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Article
IFRS 17: Waiting is not an optionIFRS 17 is a principles-based accounting standard for the future-oriented valuation of insurance contracts. Designed to increase financial transparency, IFRS 17 requires insurers to report in more detail on how insurance and reinsurance contracts affect their finances and risk.
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Article What is stress testing in risk management and why is it useful?What is stress testing in risk management? Discover the fundamentals and how it can benefit financial organisations
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Webinar
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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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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Customer Story
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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White Paper
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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Article
Bank Closures: Which areas are likely to be ‘bankless’ by 2024? The way that we bank has significantly changed in recent years, as banks respond to the needs of many businesses and consumers who choose to do their banking online, rather than visit the local branch.
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Customer Story
Transformation of the National Bank of Greece with SAS Viya on Microsoft AzureLeading 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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White Paper
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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Customer Story
Building reliability in riskBanca Mediolanum uses SAS Viya to develop high-performing, reliable credit scoring models.
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Customer Story
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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Article
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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Webinar
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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Customer Story
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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White Paper
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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Customer Story
Unlocking efficiency, insight and agility in insurance reportingSantalucía modernizes IFRS 17 reporting with SAS, improving data integration, transparency and efficiency across insurance finance operations.
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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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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.
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White Paper
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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White Paper
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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White Paper
2026 Anti Fraud Technology Benchmarking ReportReport
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White Paper
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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White Paper
The balance sheet risk conundrumHow SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times.
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White Paper
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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Article
Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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White Paper
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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White Paper
AI-powered solutions for a trillion-dollar problemWhite paper
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Webinar
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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White Paper
Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
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White Paper
Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
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White Paper
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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Customer Story
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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Webinar
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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Article
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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White Paper
The future of trustWhite paper
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White Paper
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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White Paper
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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Webinar
Breaking the Silos: What Global Banks Reveal About the Future of FRAMLFraud. Money laundering. Mule networks. Scams. Sanctions evasion. Criminals don't separate them into neat categories. Yet many financial institutions still do.
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Customer Story
Climate-driven finance for a net-zero worldSAS Climate Risk Stress Testing on SAS Viya helps Intesa Sanpaolo plan, optimize and achieve net-zero targets by integrating governance and business strategies.
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Webinar
Banking on AI: Mid-Year UpdateHow leading banks are turning AI investments into measurable results
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Article
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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Webinar
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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White Paper
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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Customer Story
Intelligent, real-time fraud decisions in 50 millisecondsDeutsche Kreditbank achieves real-time fraud prevention at scale with SAS Viya on Amazon Web Services, reducing fraud and keeping legitimate payments fast and secure.
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Customer Story
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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Analyst Report
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2025SAS is a category leader in Chartis' RiskTech Quadrant for AML Transaction Monitoring Solutions, 2025. According to Chartis, SAS' AML transaction monitoring solutions emphasize speed, volume and performance.
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White Paper
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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Article
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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White Paper
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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White Paper
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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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.
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White Paper
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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Customer Story
Sophisticated text analytics help delve deeper into member enquiries and pinpoint areas for improvementTo take its industry-leading customer satisfaction to even greater heights, Nationwide set out to investigate why members get in touch and find better ways to resolve their enquiries.
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White Paper
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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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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Webinar
Generative AI in Fraud and Financial CrimesChallenges and opportunities for financial institutions
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White Paper
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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Article
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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Webinar
Navigating Economic Challenges: Building Resilience Through Integrated Risk ManagementLearn how to modernize ALM and liquidity risk management in turbulent times.
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Webinar
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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E-Book
Future of Intelligent Banking: AI, Risk and Innovation in the Next Decadee-book
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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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Customer Story
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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E-Book
The strategic bank playbook: Transforming insights into impacte-book
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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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Webinar
AI-Powered Credit Lifecycle Management with SASAs credit markets become increasingly competitive, volatile, and digitally driven, risk managers are under growing pressure to achieve profitable growth while controlling delinquencies, enhancing customer experience, and meeting evolving governance and regulatory expectations.
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White Paper
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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Webinar
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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Analyst Report
Chartis RiskTech Quadrant® for ALM Solutions, 2025SAS is named a category leader in Chartis Research's 2025 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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Article
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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Webinar
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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Customer Story
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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White Paper
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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Webinar
Data, trust and emerging tech: Insights from the 2026 ACFE Anti-Fraud Technology Benchmarking ReportJoin SAS and ACFE to discuss key findings from the 2026 Anti‑Fraud Technology Benchmarking Report and learn what it takes to close the gap between fraud risk and fraud readiness.
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Customer Story
A risk-based approach to combat money laundering in IsraelSAS Anti-Money Laundering helps Ayalon Insurance monitor suspicious activity and meet challenging regulatory requirements.
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Webinar
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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White Paper
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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Article
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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Webinar
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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Webinar
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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White Paper
AI governance: A banking leader’s guideAI is rapidly moving from isolated pilots to the operational core of banking. As models scale across credit, fraud, pricing and customer decisioning, the risks associated with speed, opacity and automation scale with them. For banks and financial services firms, AI governance is no longer a technical afterthought or a narrow compliance exercise. It’s a strategic capability that determines whether AI can be deployed with confidence and at scale without slowing down innovation.
This white paper examines:
• Why AI governance looks fundamentally different in banking, where systemic risk and regulatory scrutiny raise the stakes.
• How transparency, traceability and lifecycle control form the foundation of trust in AI driven decisions.
• Why traditional model risk management is no longer sufficient for modern AI systems.
• Which governance capabilities banks need to operate AI responsibly today and scale it tomorrow.
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Article
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 minimise losses, increase earnings and reduce operational risk.
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Article
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 recognising the biggest challenge – synthetic identities.
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Customer Story
Outsmarting fraudsters before it's too lateNationwide detects and prevents fraudulent activity with advanced analytics
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White Paper
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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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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Article
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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Article
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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Event Collateral
White Paper
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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Article
frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyse market risk in the trading book to address systemic challenges.
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Analyst Report
Chartis RiskTech100, 2027 -
Article
Scenario stress testing: Beyond regulatory complianceScenario stress testing offers banks a way to simulate responses to a financial crisis using a wide range of conditions and levels of severity.
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Article
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, organisations must evolve their risk management practices – including those affected by ESG risk.
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Webinar
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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White Paper
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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White Paper
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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Webinar
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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Customer Story
Better reporting yields better understanding of risk managementSAS Visual Analytics helps Erste Bank Croatia tackle diverse data for accurate analysis.
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Customer Story
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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Analyst Report
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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Webinar
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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Customer Story
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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Customer Story
Preventing crime and ensuring compliance at 120 Nordic banksSDC enables small and medium financial institutions in four Nordic countries to stay compliant.
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Webinar
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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Customer Story
Stopping payment fraud in real timeThe Bank of East Asia uses SAS for payment fraud detection and prevention.
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Analyst Report
IDC MarketScape: Worldwide Decision Intelligence Platforms, 2026 -
Article
Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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Customer Story
Getting more people behind the wheel with predictive modeling and personalized financing solutionsToyota Financial Services Italia uses SAS Viya to better understand customers, tailor communications and customize financing options for buying or leasing vehicles.
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Customer Story
Strengthening information security and governance with unified risk managementAskari Bank is enhancing information security, governance and operations by unifying risk and compliance through SAS Governance and Compliance Manager, improving data integrity, transparency and workflow effectiveness.
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White Paper
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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Customer Story
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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White Paper
Building a foundation for innovation: Five steps to keep your AML program efficient and effectiveWhite paper
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Article
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 capitalisation.
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White Paper
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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Webinar
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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Article
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.