Articles & research
Evidence-led analysis of AML controls, technology, and procurement decisions.
Customer Screening vs Payment Screening
A precise comparison of customer and payment screening, including timing, inputs, matching, decisions, testing, integrations, and how both differ from transaction monitoring.
Rules, Machine Learning, and Explainability in AML Systems
A neutral comparison of rules and machine-learning methods, the explanations each can support, and the evidence buyers need before approving an AML use case.
Sanctions, PEP, and Adverse Media Screening: What’s the Difference?
A clear distinction between sanctions, politically exposed person, and adverse-media screening, including their data, decisions, workflows, and procurement consequences.
Screening Data Quality and False Positives
An evidence-led explanation of how source structure, deduplication, identifiers, customer data, updates, and matching settings shape screening candidates and false-positive workload.
The Ten Categories in an AML Technology Stack
A practical map of ten distinct AML technology categories, the decisions each supports, and the boundaries buyers need to preserve when assembling a control environment.