SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
As noted in the Forrester evaluation, "SAS provides a broad selection of out-of-the-box EFM machine learning models. The vendor's EFM vision and product roadmap are first-rate and include not only transaction monitoring but also cyber (online) fraud management."
SAS’s productized, out-of-the-box supervised and unsupervised machine learning models for banking transaction monitoring are ahead of the competition and require less effort to train than those of competitors. Analyst investigation screens are intuitive and customizable. Reporting is versatile, visually pleasing, and easy to configure."
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Analist Raporu
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
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Revolutionizing fraud detection at Techcombank -
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SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023. -
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What Lies Beneath -
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Chartis RiskTech100 2024 -
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Generative AI in Health Care: Opportunities and Cautions -
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Stopping payment fraud in real time -
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Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022 -
MÜŞTERİ HİKAYESİ
Managing mergers and analytics: Ensuring reliable energy by eliminating risk -
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SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022 -
E-Kitap
Protecting the Payments -
Rapor
Effective fraud analytics: 10 steps to detect and prevent insurance fraud -
E-Kitap
Faces of Fraud -
Rapor
Protect the Integrity of the Procurement Function -
Makale
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IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment -
Rapor
Using Modern Analytics to Save Government Programs Millions -
Makale
5 steps to sustainable GDPR compliance -
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Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor Analysis -
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Matrix: Leading Fraud & AML Machine Learning Platforms -
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Matrix: Payment Integrity In Healthcare -
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Machine Learning Use Cases in Financial Crimes -
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Keeping Fraud Detection Software Aligned With the Latest Threats -
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4 strategies that will change your approach to fraud detection -
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MÜŞTERİ HİKAYESİ
Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience -
Rapor
Fighting Insurance Application Fraud -
Makale
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Data and Analytics to Combat the Opioid Epidemic -
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Online fraud: Increased threats in a real-time world -
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Leveraging Analytics to Combat Digital Fraud in Financial Organizations -
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Proactive anti-financial crime strategies to improve compliance and reduce risk -
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Government Procurement Offices -
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Fraud in Communications -
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A risk-based approach to combat money laundering in Israel -
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Rethinking customer due diligence -
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2021 State of Insurance Fraud Technology Study -
Rapor
Detect and prevent digital banking fraud -
Makale
Detect and prevent banking application fraud -
Rapor
Next-generation AML -
Makale
Are you covering who you think you’re covering? -
Analist Raporu
Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition -
Analist Raporu
Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition -
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Banking in 2035: global banking survey report -
Makale
Top prepaid card fraud scams -
Makale
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Procurement integrity powered by continuous monitoring -
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AML Modernization -
E-Kitap
The Future of Energy & Utilities: Transform Through Innovation -
Rapor
Data-Driven Performance -
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Fighting the Rising Tide of Medicaid Fraud -
Rapor
Fraudsters love digital -
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Data, analytics and machine learning: The new frontier of fraud prevention -
Rapor
Anti-Fraud Technology -
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Value and Opportunity: An Executive Guide to Procurement Integrity -
E-Kitap
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E-Kitap
High velocity decisions. Trusted outcomes. -
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Payments Without Borders -
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The Escalation of Digital Fraud -
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Managing the Intelligence Life Cycle -
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Balancing Fraud Detection and the Customer Experience -
Rapor
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
Rapor
Detect and Prevent Identity Theft -
Makale
Payment fraud evolves fast – can we stay ahead? -
MÜŞTERİ HİKAYESİ
Turkish insurer achieves real-time fraud detection -
MÜŞTERİ HİKAYESİ
Advanced analytics can detect and prevent insurance fraud before losses occur -
MÜŞTERİ HİKAYESİ
Aksigorta SAS Fraud Framework çözümüne yatırım yapma kararı verdi -
Makale
The best gift you can give to thieves this holiday season? Your identity. -
Makale
Shut the front door on insurance application fraud! -
Makale
The online payment fraud stops here -
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Strengthen your payment fraud defenses with stronger authentication -
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Fraud detection and machine learning: What you need to know -
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Health care cost containment through big data analytics -
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Managing fraud risk: 10 trends you need to watch -
Makale
Taking pre-emptive action to stem the tide of VAT fraud losses -
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Stop contract and procurement fraud -
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Medicaid and benefit fraud in 2018 and beyond -
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Applying technology to ensure voter integrity in elections -
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Rethink customer due diligence -
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Detecting health care claims fraud -
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How to uncover common point of purchase -
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Mobile payments, smurfs and emerging threats -
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Uncover hidden financial crime risk -
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How AI and advanced analytics are impacting the financial services industry -
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What do drones, AI and proactive policing have in common? -
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Next generation anti-money laundering: robotics, semantic analysis and AI -
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How can analytics change the world of 'Narcos'? -
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Preventing crime and ensuring compliance at 120 Nordic banks -
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Small-time cheats and organized crime: Benefits fraud re-examined -
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Proactive detection – A new approach to counter terror
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