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SAS

Analytics-led AML suite

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SAS Anti-Money Laundering brings monitoring, customer due diligence, entity resolution, investigation, and reporting into an integrated application. The current generation runs on SAS Viya. Its main distinction is the connection between operational AML work and configurable analytics, rather than identity capture at the front of an onboarding flow.

Our assessment

A deep AML and analytics candidate; broad corporate software coverage should not be treated as one ready-made risk stack.

Best fit and limitations

Fits organizations that want AML operations and a strong analytics environment under one architecture. It is especially worth testing when the team can own model design, data quality, and tuning.

  • Separate the current Viya product from older SAS AML installations. Migration can change workflows and infrastructure.
  • A visual scenario editor does not remove the need for data engineering or model validation.
  • Confirm external screening content and IDV/KYB providers; AML CDD does not itself prove legal identity.

Tools 5

SAS Anti-Money LaunderingDetection and compliance
+
  • Configured scenarios with ML and network analysis
  • Customer-level triage and investigation
Source 1
Customer Due DiligenceCustomer risk
+
  • CDD/EDD integrated into the Viya AML application
  • Changes in customer data and activity can trigger reviews
Source 2
Entity resolution + network analyticsConnected investigations
+
  • Deduplicate entity records and reveal links
  • Examine ownership and counterparties
Source 1
Open administrationOperating controls
+
  • Visual scenario authoring and workflow configuration
  • Tailored screens, exploration, and reporting
Source 1
Real-Time Watchlist ScreeningScreening extension
+
  • Separate named screening product in the SAS portfolio
  • Confirm purchased engine, datasets, and payment-message scope
Source 1

AI capabilities

Predictive analytics + model governance

The reviewed product material establishes anomaly detection, ML, explainability, and network analysis. It does not establish a specific autonomous AML agent included in every deployment.

Detect unusual behaviorFind hidden relationshipsExplain analytical flags
What to validate

Ask for feature lineage, model validation, threshold change approval, and performance by customer segment.

Source 1

Implementation

Integration checklist
  • Ask for a Viya architecture and data ingestion design for the target environment.
  • Assess source quality, entity matching, historical transaction loads, and access controls.
  • Confirm exactly which reporting templates and submission interfaces apply to your jurisdictions.
Commercial scope

Quote required. Separate application licensing, infrastructure, implementation, data preparation, model work, and support.

Estimate total cost
Questions for the demo
  1. Which AML version and Viya services are included?
  2. Can our team build, backtest, approve, and roll back a new scenario?
  3. What remains manual between case closure and report submission?

Sources 2

SAS AML features and related productswww.sas.com
Product
Current SAS AML release and supportsupport.sas.com
Documentation

Reviewed September 17, 2026. Product claims come from public sources. Fit, limits, and evaluation questions are our analysis. This is not a hands-on performance test. Methodology