SAS ranks #2 overall in the prestigious Chartis RiskTech100, 2025 – with 6 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 six technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9, 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 lifecycle.
SAS’s overall second place in the RiskTech100 ranking reflects its well-focused combination of decisioning strategy and integrated balance sheet management frameworks. Moreover, it has consistently leveraged its existing platforms and methodical strength, particularly in the integrated balance sheet environment. " Sid Dash Chief Researcher, Chartis
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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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ホワイトペーパー
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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ホワイトペーパー
Keys to robust credit risk modeling and decisioning for better customer experienceModernizing 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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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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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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アナリスト・レポート
Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor AnalysisChartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023 has named SAS a category leader for enterprise fraud solutions.
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アナリスト・レポート
Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2023.Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2023.
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ホワイトペーパー
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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ホワイトペーパー
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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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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記事
消費者信用業界におけるDX成功の鍵クレジットカード・信販・消費者金融業界の課題を解決するSASの包括的なソリューションをご紹介します。
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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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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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アナリスト・レポート
Chartis RiskTech100 2025SAS ranks #2 overall in the prestigious Chartis RiskTech100, 2025. Six category wins are AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9 and Model Risk Management.
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ユーザー事例
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
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ホワイトペーパー
The balance sheet risk conundrumHow SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times.
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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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ホワイトペーパー
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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記事 Bank3.0の世界で求められる新たな金融サービスの形近年Bank3.0、FinTechといった概念の出現とともに、金融サービス事業者と顧客の関係が大きく変貌しています。少子高齢化という外部環境も相まって、弊社の金融サービス業のお客様からも先進事例に関するお問い合わせが増えています。弊社がご提供したシステムを活用されている銀行での取り組み例をご紹介します。
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ホワイトペーパー
Payments Without BordersMitigating fraud risks in cashless payments by holistically understanding your customers across all channels.
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ホワイトペーパー
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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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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Managing Fraud Risk in the Digital Age The rise of mobile and online transactions introduces new fraud risks. Retailers and payment processors must adapt their anti-fraud defenses, augmenting them with stronger, analytics-driven authentication, proactive detection and mitigation tools.
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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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ユーザー事例
Finding your best customers with machine learningSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
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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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ホワイトペーパー
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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記事
IFRS9とCECL：信用損失会計基準に関する課題CECLとIFRS9は銀行に対し、予想信用損失（ECL）の予測精度を向上させることを義務付けます。この要件を満たすためには、アナリティクスに基づく新しい信用損失モデルが必要になります。
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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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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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ホワイトペーパー
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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ホワイトペーパー
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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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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Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
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ホワイトペーパー
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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アナリスト・レポート
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022SAS Anti-Money Laundering, which helps fight money laundering and terrorist financing with AI, machine learning, intelligent automation and advanced network visualization, is named a Leader in The Forrester Wave.
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アナリスト・レポート
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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ホワイトペーパー
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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ホワイトペーパー
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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ユーザー事例
Thai bank safeguards customers while managing fraud detection in real timeKrungsri Consumer uses SAS® Fraud Management to find fraud faster and reduce revenue losses.
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アナリスト・レポート
Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent Datos Insights report, Matrix: Leading Fraud & AML Machine Learning Platforms.
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ホワイトペーパー
Detect and Prevent Identity Theft The explosion in e-commerce and online account opening has created new convenience and choice for consumers. At the same time, large-scale data breaches have created new opportunities for fraudsters, fueling an 8-percent increase in identity theft in a single year. Find out how to fight back, without hindering your good customers.
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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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記事
モデルリスク管理：規制対応と事業持続性の生命線多くの金融機関は、モデルリスク管理が規制遵守に留まらず、事業持続性のための極めて重要な業務機能であることに気づいています。
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ホワイトペーパー
Balancing Fraud Detection and the Customer Experience Customers of a digital business create an intricate online footprint as they transact online. Businesses that capture and truly understand a complete identity based on online and offline attributes can seamlessly authenticate good customers and reliably spot the fraudulent or hijacked identities – in real time.
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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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ホワイトペーパー
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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アナリスト・レポート
SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024.
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ホワイトペーパー
Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
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ホワイトペーパー
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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ホワイトペーパー
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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ホワイトペーパー
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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アナリスト・レポート
Chartis RiskTech100 2024SAS climbs to No. 2 in the prestigious Chartis RiskTech 100®, 2024, and bested seven technology award categories, including AI for Banking, Behavioral Modeling and Enterprise Stress Testing.
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ホワイトペーパー
Rethinking customer due diligenceHelp evaluate your organization's CDD processes and technology relative to current industry risks and regulatory requirements.
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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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ユーザー事例
アナリティクスがマネーロンダリング対策の原動力を供給SAS helps Landsbankinn reduce false positives and streamline investigation.
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ホワイトペーパー
The Escalation of Digital FraudThis Javelin Research report is based on 120 independent interviews of payment and security executives in 20 countries and delivers a clear picture of how digital fraud has changed the global operating environment for financial institutions.
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アナリスト・レポート
Chartis RiskTech Quadrant Asset and Liability Management, 2023SAS is named a category leader in Chartis Research's 2023 RiskTech Quadrant for ALM solutions, RiskTech Quadrant for FTP solutions, RiskTech Quadrant for LRM solutions and RiskTech Quadrant for capital and balance sheet optimization solutions.
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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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ホワイトペーパー
Next-generation AMLSix tips to modernize your fight against money laundering.
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ユーザー事例
フィンランド最大手のリテール銀行、顧客サービスとクレジット・スコアリングを改善するためにAIを適用S-Bankは、SAS Viya on Azureを活用して、より優れた顧客サービスと、より迅速かつ正確なローン契約処理を提供しています。
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ホワイトペーパー
Leveraging Analytics to Combat Digital Fraud in Financial OrganizationsInternational Institute for Analytics summarizes key questions and answers about financial fraud in the digital age.
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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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アナリスト・レポート
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024 -
ホワイトペーパー
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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アナリスト・レポート
モデルリスク管理システムに関する2014年版Chartis RiskTech Quadrant（英語） -
ホワイトペーパー
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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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
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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e-Book
Fight money laundering with these 5 next-gen game changers from SASEffectively battling dynamic financial crime threats requires new capabilities for AML defense – such as artificial intelligence, machine learning, intelligent automation and advanced visualization.
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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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ホワイトペーパー
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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ホワイトペーパー
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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記事
金融機関と政府の包括的な金融犯罪対策を支援 -
記事
信用リスク管理、それが答えです貸付・融資量は金融危機前の水準を回復しています。しかし、銀行は滞納率の上昇にも直面しています。だからこそ、信用リスク管理の改善がカギなのです。
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アナリスト・レポート
dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
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アナリスト・レポート
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
ホワイトペーパー
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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ユーザー事例
リアルタイムの制裁スクリーニングにより、金融犯罪やテロ資金供与に対抗Orange Bankは、SASとNeteriumによるクラウドベースの制裁スクリーニング・ソリューションで、新たなリスクや変化する規制の一歩先を進んでいます。
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ホワイトペーパー
Data, analytics and machine learning: The new frontier of fraud preventionThe Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
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ホワイトペーパー
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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アナリスト・レポート
IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor AssessmentLearn why SAS is positioned in the Leaders category in the 2022 IDC MarketScape for worldwide responsible artificial intelligence for integrated financial crime management platforms.
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記事
シナリオ・ストレステスト：規制遵守以外の領域における有効活用に向けてシナリオ・ストレステストは銀行に対し、幅広い条件と重大度レベルを用いて金融危機への対応をシミュレートする方法を提供します。シナリオ・ストレステストは銀行監督用ツールとして進化してきたものですが、金融機関の側では既に、これらの規制対応実務を通常業務に組み込み済みです。
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アナリスト・レポート
Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022SAS is named a category leader in the Chartis RiskTech Quadrant for Trade-Based AML Solutions, 2022.
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ホワイトペーパー
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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ホワイトペーパー
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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ホワイトペーパー
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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イベント関連資料
ホワイトペーパー
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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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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ホワイトペーパー
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?