List of SAS Fraud Decisioning Customers
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Since 2010, our global team of researchers has been studying SAS Fraud Decisioning customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAS Fraud Decisioning for AML, Fraud and Compliance from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAS Fraud Decisioning for AML, Fraud and Compliance include: Bank of Ayudhya, a Thailand based Banking and Financial Services organisation with 13950 employees and revenues of $4.70 billion, Prime Therapeutics, a United States based Healthcare organisation with 7000 employees and revenues of $2.50 billion, Techcom Bank, a Vietnam based Banking and Financial Services organisation with 5000 employees and revenues of $847.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Fraud Decisioning, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The SAS Fraud Decisioning customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bank of Ayudhya | Banking and Financial Services | 13950 | $4.7B | Thailand | SAS Institute | SAS Fraud Decisioning | AML, Fraud and Compliance | 2014 | n/a |
In 2014, Bank of Ayudhya implemented SAS Fraud Decisioning under the AML, Fraud and Compliance category to establish real-time monitoring for card and non-monetary transactions across Krungsri Consumer operations in Thailand. The deployment created a centralized detection layer to ingest transaction streams and apply rule and scoring logic for immediate alerting and prioritization.
Configuration emphasized rules tuning, adaptive scoring, and alert management, with explicit use of SAS Fraud Decisioning to instrument alert scoring and prioritization. Case management and investigator workflow controls were configured to support fraud operations and card services, and analytics-driven rule calibration was used to reduce noise and focus investigations.
Operational coverage targeted Krungsri Consumer in Thailand, and governance changes included revised alert triage procedures and tighter investigation workflows to manage incoming alerts. The implementation is reported to have reduced alert volume by 40 percent, improved fraud detection by 35 percent, and cut false positives by 18 percent.
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Prime Therapeutics | Healthcare | 7000 | $2.5B | United States | SAS Institute | SAS Fraud Decisioning | AML, Fraud and Compliance | 2018 | n/a |
In 2018, Prime Therapeutics implemented SAS Fraud Decisioning in an AML, Fraud and Compliance deployment in the United States, with usage inferred from Prime Therapeutics’ public adoption of SAS Detection and Investigation for Health Care and related SAS healthcare fraud analytics. The engagement targeted healthcare claims fraud, waste and abuse, combining pharmacy and medical claims feeds with machine learning driven analytics to surface complex FWA patterns across payer workflows.
Deployment centered on SAS Detection and Investigation for Health Care capabilities integrated with enterprise decisioning functions, using ML models, rules based scoring and investigator-facing detection workflows. Configuration included automated anomaly detection, prioritized scoring for cases, and workflow orchestration to route cases into specialized investigation queues and adjudication processes, reflecting typical decisioning and case management capabilities tied to SAS Fraud Decisioning.
Operational integrations consolidated pharmacy claims and medical claims data feeds into the analytics layer, enabling cross-claim correlation and suspicious link analysis across member and provider records. The implementation covered payer fraud analytics, claims operations and investigator teams in the United States, embedding model outputs into adjudication and investigative workflows to improve case triage and escalation.
Governance aligned analytics, investigation and claims teams to a centralized surveillance process, standardizing alert handling and investigative playbooks while operationalizing model monitoring and case resolution workflows. The deployment produced roughly $355 million in savings and avoidance over an 18 month period, an outcome reported in Prime Therapeutics’ public accounts of its SAS based healthcare fraud program.
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Techcom Bank | Banking and Financial Services | 5000 | $847M | Vietnam | SAS Institute | SAS Fraud Decisioning | AML, Fraud and Compliance | 2020 | Chengdu Shangtong Time Digital Technology |
In 2020, Techcom Bank implemented SAS Fraud Decisioning as an enterprise fraud solution within its AML, Fraud and Compliance environment. The deployment supported a bank-wide program for proactive real-time data monitoring across products and channels to strengthen banking fraud-detection operations in Vietnam.
The SAS Fraud Decisioning configuration emphasized real-time decisioning and rule orchestration, combining a decision engine, rules authoring and score-based model evaluation with automated case creation to accelerate detection workflows. Implementation work focused on stream-based monitoring, threshold rules, automated alerting and case prioritization to enable seconds-level detection and reduce manual triage.
The solution was integrated with product and channel data feeds and transaction monitoring streams to provide cross-channel surveillance, with implementation partner Chengdu Shangtong Time Digital Technology and local systems integrator HPT HAS supporting deployment and operational handover. Operational coverage targeted frontline fraud monitoring teams and centralized fraud operations across Techcom Bank’s Vietnam footprint.
Governance and process changes included centralized rules governance, an incident escalation workflow and revised analyst triage procedures to align decisioning outputs with fraud operations. Outcomes reported from the deployment include slashing fraud-detection time to mere seconds and reducing false positives, enabling faster case resolution and lower manual review volumes.
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Buyer Intent: Companies Evaluating SAS Fraud Decisioning
- Marex, a United Kingdom based Banking and Financial Services organization with 2074 Employees
- Mastercard, a United States based Banking and Financial Services company with 35300 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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