Data Enrichment

Data enrichment augments raw KYC and KYB records with external and internal signals to improve risk decisions and automation. Typical inputs include corporate registries, credit and telco attributes, postal validation, device and IP intelligence, sanctions and PEP lists, adverse media, and graph relationships like shared devices or beneficiaries. Enrichment lifts screening precision, reduces false positives, and sharpens fraud models by adding jurisdiction context, entity status, and contactability indicators. Programs should map each source to a clear purpose, document coverage and quality limits, and apply consent, minimization, and retention controls. Operationally, enrichment is orchestrated via APIs with caching, versioning, and lineage for audit. Governance tracks provider accuracy, bias, drift, and cost, while conflicts trigger tie-break rules or manual review. Done well, enrichment improves straight-through approvals, focuses analysts on truly suspicious cases, and produces stronger SAR narratives that explain why an alert matters.