List of SAS AML Customers
SAS Institute
100 SAS Campus Drive,
Cary, 27513-2414, NC,
United States
Cary, 27513-2414, NC,
United States
1 800-727-0025
Professional Services
13500
$3.6B
Since 2010, our global team of researchers has been studying SAS AML 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 AML 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 AML for AML, Fraud and Compliance include: Toronto-Dominion Bank, a Canada based Banking and Financial Services organisation with 103000 employees and revenues of $44.80 billion, National Australia Bank, a Australia based Banking and Financial Services organisation with 41880 employees and revenues of $14.47 billion, Bangkok Bank, a Thailand based Banking and Financial Services organisation with 22642 employees and revenues of $5.12 billion, Dubai Islamic Bank, a United Arab Emirates based Banking and Financial Services organisation with 10000 employees and revenues of $3.34 billion, Orange Bank, a France based Banking and Financial Services organisation with 878 employees and revenues of $119.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS AML, 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 AML 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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Bangkok Bank | Banking and Financial Services | 22642 | $5.1B | Thailand | SAS Institute | SAS AML | AML, Fraud and Compliance | 2021 | n/a |
In 2021, Bangkok Bank implemented SAS AML, deploying SAS Anti-Money Laundering as its enterprise solution in the AML, Fraud and Compliance category across its global operations. The deployment targeted the bank’s roughly 300 branches and was scoped to cover 14 economies including eight Southeast Asian markets, China, Hong Kong, Japan, Taiwan, the U.K. and the U.S., with an initial pilot at Bangkok Bank’s Hong Kong operations prior to a broader roll out.
The implementation centralized a single AML solution described as the SAS AML Global Image, which provided score based customer risk ratings and scenario based detection capabilities. Functional capabilities implemented included configurable scenarios and risk factors, segment specific threshold values by customer type risk level and product, and a standardized AML case investigation workflow to manage alerts and investigations. SAS delivered a complete set of technical tools spanning the full implementation life cycle, from early development and testing to deployment and through monitoring and maintenance of the solution.
Operational work involved auditing each location’s regulatory requirements and banking activities, and integrating new data sources along with new ways of working across compliance business and IT teams. The Global Image enabled uniform application of scenarios and thresholds while allowing local regulatory nuance to be applied through the audited requirements and segment specific settings, supporting consistent risk scoring and detection across jurisdictions.
Governance and process changes included institution wide standardization of case investigation workflow and strengthened coordination between compliance and business units. Outcomes reported included strengthened AML risk management and decision making, simplified and consolidated AML infrastructure and process, and improved staff productivity manifested as reduced case resolution times.
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Dubai Islamic Bank | Banking and Financial Services | 10000 | $3.3B | United Arab Emirates | SAS Institute | SAS AML | AML, Fraud and Compliance | 2015 | n/a |
In 2015, Dubai Islamic Bank implemented SAS AML to strengthen its transaction monitoring and regulatory reporting capabilities. The deployment targeted the bank's AML, Fraud and Compliance requirements and was positioned to support UAE regulations and FATCA compliance.
The implementation centered on SAS Anti-Money Laundering capabilities, including a risk based approach to monitoring transactions, high performance analytics for very large data volumes, and multiple detection methods to surface potential illicit behavior. SAS AML was configured to automatically monitor customers and counterparties, document decision processes for cases, and enable filing of regulatory reports with appropriate authorities.
Operationally the solution served the bank's operations and compliance teams, extending monitoring coverage across customer transaction streams and counterparty activity. The architecture emphasized analytics driven detection and case management workflows, enabling analysts to prioritize alerts and maintain auditable decision trails.
Governance changes accompanied the rollout, with documented processes for alert investigation and regulatory filing introduced to support timely detection and reporting. The bank stated that SAS AML allowed it to make better informed regulatory decisions, detect suspicious transactions more proactively, and support a higher level of security to mitigate compliance risk.
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National Australia Bank | Banking and Financial Services | 41880 | $14.5B | Australia | SAS Institute | SAS AML | AML, Fraud and Compliance | 2017 | n/a |
In 2017, National Australia Bank implemented SAS AML as part of its Financial Crime IT services, classified under AML, Fraud and Compliance. The deployment was embedded within a centrally managed portfolio of BI and analytics services that the bank governed through service planning, service delivery and service operations.
The SAS AML implementation emphasized transaction monitoring, rules and analytics model management, and alert generation workflows, and was configured to support investigative case workflows and operational AML detection. SAS AML ran analytics models, managed alert lifecycles, and provided the detection capabilities aligned to the bank's AML operational processes.
The solution was integrated into the broader BI and analytics stack managed by the bank, including Teradata, SAP Business Objects, Oracle Business Intelligence Suite, Tableau, xTraction and Qlikview, enabling data ingestion from Teradata as the enterprise data warehouse and reporting through BI layers. Financial Crime IT services were operated alongside NetReveal Anti Money Laundering Transaction Monitoring and SAS Fraud Management, forming a multi-product detection and analytics environment.
Governance and operational control for SAS AML followed the bank's service lifecycle approach, covering service planning, incremental configuration updates, and service operations, with responsibilities split across Financial Crime, AML and fraud investigation teams and analytics and BI teams for model provisioning and reporting. Ongoing operational ownership included monitoring, model stewardship and support within the service operations construct.
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OP Corporate Bank plc | Banking and Financial Services | 60 | $10M | Latvia | SAS Institute | SAS AML | AML, Fraud and Compliance | 2017 | n/a |
In 2017 OP Corporate Bank plc implemented SAS AML in the AML, Fraud and Compliance category, deploying SAS Institute AML and CDD capabilities into production by the end of 2017. SAS AML was provisioned for transaction monitoring and customer due diligence alongside the bank's existing BAE Systems Norkom AML transaction monitoring solution.
Implementation scope focused on embedding SAS AML and associated CDD workflows within the bank's compliance operations at the Latvia branch, operating in parallel to BAE Systems Norkom AML. The SAS AML deployment included rule-based detection, alert generation, scoring and case management capabilities typical of AML, Fraud and Compliance platforms, and it was configured to support analyst review and escalation workflows.
The SAS AML implementation ran concurrently with the bank's financial sanctions monitoring infrastructure, which remained on BAE Systems Norkom WLM with 24/7 online screening or T plus 1 to 3 processing, and with an upgrade to BAE Systems NetReveal WLM scheduled for production at the end of 2018. The deployment pattern indicates coexistence of SAS AML and the BAE Systems monitoring stack during the parity window that concluded in EOY 2017.
Governance and operational change centered on parallel production and phased cutover validation, enabling compliance, AML operations and CDD teams to reconcile alerts and tune detection logic across both platforms. The narrative documents a multi-vendor operational model, with SAS AML providing complementary AML and CDD functionality within the bank's broader AML, Fraud and Compliance architecture.
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Orange Bank | Banking and Financial Services | 878 | $119M | France | SAS Institute | SAS AML | AML, Fraud and Compliance | 2017 | n/a |
In 2017, Orange Bank implemented SAS AML replacing SymphonyAI Sensa NetReveal. The deployment targeted AML, Fraud and Compliance use cases to support LCBFT, fraud detection and data analytics business functions within the bank.
Project scope focused on project management for LCBFT and anti-fraud solution rollouts, accompanied by the creation of a Data Lake to accommodate business use cases. Implementation activity included scoping and design of the platform architecture, definition of technical standards for each platform component, and establishment of security and traceability rules to support compliance workflows.
The technical environment assembled around the SAS AML deployment comprised a Hadoop based Data Lake stack including Hortonworks, Spark, Kafka, ELK, Nifi, Hive and Oozie, with BI and graph capabilities delivered via Tableau and Neo4j. Workstreams covered platform architecture, data ingestion and orchestration, analytics processing and operational monitoring, with SAS AML positioned as the specialized compliance and detection engine.
Governance and rollout emphasized standards definition, monitoring and management of implementation work, and project management controls for LCBFT and fraud program adoption. Operational coverage explicitly involved compliance, fraud investigation and data teams, and integrations tied SAS AML into the broader BI and Big Data platform to enable end to end detection and traceability.
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Banking and Financial Services | 103000 | $44.8B | Canada | SAS Institute | SAS AML | AML, Fraud and Compliance | 2017 | n/a |
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Buyer Intent: Companies Evaluating SAS AML
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating SAS AML. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating SAS AML for AML, Fraud and Compliance include:
- Abacus.Ai, a United States based Professional Services organization with 160 Employees
- Apnup Mexico, a Mexico based Professional Services company with 10 Employees
- Nanyang Polytechnic, a Singapore based Education organization with 1400 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD SAS AML Coverage
SAS AML is a AML, Fraud and Compliance solution from SAS Institute.
Companies worldwide use SAS AML, from small firms to large enterprises across 21+ industries.
Organizations such as Toronto-Dominion Bank, National Australia Bank, Bangkok Bank, Dubai Islamic Bank and Orange Bank are recorded users of
SAS AML for AML, Fraud and Compliance.
Companies using SAS AML are most concentrated in Banking and Financial Services, with adoption spanning over 21 industries.
Companies using SAS AML are most concentrated in Canada, Australia and Thailand, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAS AML across Americas, EMEA, and APAC.
Companies using SAS AML range from small businesses with 0-100 employees - 16.67%, to mid-sized firms with 101-1,000 employees - 16.67%, large organizations with 1,001-10,000 employees - 16.67%, and global enterprises with 10,000+ employees - 50%.
Customers of SAS AML include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified SAS AML customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AML, Fraud and Compliance.