OFAC Screening Methodology

The specific approach used to match a counterparty against sanctions lists, whether exact matching, fuzzy or phonetic matching, or AI-based matching.

TL;DR

TL;DR: Screening methodology is how a check decides whether a counterparty matches a listed name. Exact matching catches precise hits, while fuzzy and phonetic matching catch misspellings and transliterations.

Why methodology matters

Sanctions evaders rarely spell a name exactly as it appears on the list. A screening approach built only on exact matches will miss altered spellings, reordered names, and transliterations between scripts. Fuzzy matching and phonetic matching widen the net to catch those variants, at the cost of more false positives that a scoring step must then resolve.

Why it matters for agent payments

An agent needs a methodology that errs toward catching matches without blocking legitimate payments constantly. A screening call that returns both a match result and a risk score lets the agent apply a threshold: clear matches are BLOCK, and borderline cases can be routed to a hold or review step rather than auto-approved. That keeps the agent fast while keeping the check meaningful.

Matching approaches compared

• Exact matching: precise but easy to evade
• Fuzzy and phonetic matching: catches variants and transliterations
• AI-based matching: handles noisy or structured data

Balancing recall and precision

Every methodology trades recall against precision. Exact matching has high precision and low recall, missing evasive spellings. Fuzzy and phonetic matching raise recall but generate false positives that need review. The practical approach is layered: a fast fuzzy screen to catch variants, a risk score to rank borderline hits, and a review step for the uncertain middle. The goal is to catch real matches without blocking legitimate business.