SAS approaches AML from its analytics heritage: detection combines scenario rules with statistical and machine learning models, and — unusually — provides the model risk governance apparatus that regulators increasingly expect, including documentation, validation and challenger model testing.
The platform covers transaction monitoring, customer due diligence, watchlist screening, alert triage scoring that ranks alerts by likely productivity, and network analysis to reveal linked entities behind structured transactions. Its visual investigation tools let analysts follow money flows across accounts and counterparties.
Best suited to: banks with mature analytics functions that need explainable, well-governed detection models and rigorous tuning evidence.
This vendor does not publish pricing. Request a custom quote and we will get the current rates for your team size.
API-first screening and monitoring built on a proprietary real-time risk database.
Indian AML and KYC platform aligned to FIU-IND reporting and SEBI, RBI and IRDAI rules.
Modern AML platform emphasising explainable AI and rapid rule configuration.
Real-time financial crime prevention combining AML monitoring with fraud detection.
