Screening that finds risk, not noise
Curated data, tunable matching, defensible decisions.
Sanctions, PEP, enforcement and adverse media screening at onboarding and on an ongoing basis — with the tuning controls to keep alert volumes workable.
Every screening programme faces the same trade-off: widen the net and drown the team, tighten it and miss a designation. The answer is not a bigger list — it is better discrimination. Curated data with structured secondary identifiers, transliteration-aware matching, disciplined whitelisting and evidenced thresholds are what turn a screening tool into a control your regulator will accept.
Capabilities
What the platform needs to do
The functional building blocks regulated teams evaluate before they commit.
Curated global risk data
Sanctions, PEP, state-owned enterprise, enforcement and adverse media coverage, structured for matching rather than delivered as flat text.
Onboarding and ongoing screening
Screen at account opening and continuously as designations change, so a newly listed party is caught in days rather than at the next annual review.
Tunable matching
Threshold control, secondary identifier matching and transliteration handling, so alert volumes reflect real risk instead of common-name collisions.
Whitelisting and alert reuse
Discounted matches stay discounted with their rationale attached, instead of reappearing on every screening cycle and consuming analyst time twice.
Ownership-aware screening
Screen beneficial owners and controllers identified through KYB structure data, where sanctions exposure most often sits.
Audit trail on every decision
Each alert carries the data compared, the analyst, the timestamp and the recorded reason for discounting or escalating — the evidence a thematic review asks for.
How to choose
What separates a workable system from a shelf-ware one
Matching quality over list size
Compare candidate systems on the same population and measure the false-positive rate. Headline record counts tell you nothing about analyst workload.
Evidence for your thresholds
Regulators ask why a threshold is set where it is. Choose a system that lets you test settings and retain the analysis.
Update latency
Know how quickly a new designation reaches your screening engine and how the vendor handles delistings and corrections.
Ownership coverage
Direct-name screening alone misses exposure held through subsidiaries and controllers. Ownership data must feed the screening.
Alert workflow, not just detection
The cost centre is disposition. Look hard at how alerts are grouped, assigned, escalated and closed.
Tuning support
Calibration is specialist work. Access to advisory expertise to tune the configuration is often worth more than an extra data source.
Where this runs
The Infocredit platforms behind it
Match the requirement to the platform built for it.
ComplianceSuite
Screening, transaction monitoring, CDD/EDD and case management in one regulated-entity control room.
Explore ComplianceSuiteAPI4ALL
Company search and KYB structure data to identify the entities and controllers that need screening.
Explore API4ALLRISQO
Counterparty and supplier risk intelligence, including country and sanctions exposure across a portfolio.
Explore RISQOFAQ
Common questions
- What is sanctions screening software?
- It compares your customers, counterparties and payments against sanctions lists and related risk data — PEP registers, enforcement actions and adverse media — and raises an alert when a potential match is found. The software's job is not only to find matches but to present them so an analyst can decide quickly and record why.
- Which lists should be screened?
- At minimum the sanctions regimes applicable to your jurisdictions and the currencies you clear in — typically UN, EU, OFAC and UK, plus any local designations. Most regulated firms extend screening to PEPs, state-owned enterprises, enforcement and adverse media, because sanctions exposure often arrives through ownership or association rather than a direct listing.
- How often should screening run?
- At onboarding, on every material change to the customer record, and continuously against list updates. Batch re-screening the whole book only at annual review leaves a window in which a newly designated party is an active customer.
- How do you cut false positives without missing true matches?
- By improving discrimination rather than lowering sensitivity: secondary identifiers such as date of birth, nationality and jurisdiction, transliteration-aware name matching, and whitelisting of previously discounted matches so the same alert does not resurface every cycle. Thresholds should be evidenced and periodically reviewed.
- Do you screen ownership as well as the named party?
- Yes — sanctions exposure frequently sits in the ownership chain. KYB structure data identifies controllers and beneficial owners so they can be screened alongside the entity itself.
See it against your own cases
We'll walk through your onboarding, screening or monitoring scenarios on a live environment — no generic slide deck.