Sanctions Screening

Sanctions Screening

Sanctions screening
at instant payments speed.

Vyntra’s sanctions screening platform combines advanced fuzzy and phonetic matching with configurable suppression and clearance logic — helping financial institutions tackle the twin failures of legacy screening: alert volumes that consume compliance capacity, and static matching that fails to catch evasion and the financial crime it enables.

Sanctions Screening Engine
Real-time · Multi-regime · Configurable
Live
EUR 847,500
Outgoing wire · Counterparty: Al Rashid General Trading LLC · 14 Jun 2026
Screening
Match results · All lists checked
Al Rashid Group (UAE)
EU Consolidated List · Phonetic match · Suppression rule applied
Cleared
72%
Al-Rasheed Trading Co.
OFAC SDN · Token match · Clearance rule: IBAN verified
Suppressed
58%
Al Rashid Gen. Trading (SDN)
OFAC SDN List · Fuzzy + transliteration match
Review
94%
Match method Fuzzy + transliteration
Matched alias Al-Rashed General Trading LLC
List OFAC SDN · Prog: SDGT
Decision required
Payment held · 4-eye review
Open case →

Russian sovereign assets frozen under Western sanctions

~$ 0 bn

Source: Brookings / REPO Task Force

OFAC and UN sanctions programs requiring continuous monitoring

+ 0

Why legacy screening fails

Sanctions compliance requires more
than a name on a list.

Financial sanctions lists tell you who’s designated — not who’s evading. Aliases, transliterations, and layered ownership structures slip straight past static matching. And casting a wider net only makes it worse: over-broad rules bury your team in alerts they can’t clear. The regulatory bodies behind these programs expect a risk-based approach, not just a bigger net, and the regulatory penalties for getting it wrong now run into the billions.

Effective screening means catching what evades and clearing what doesn’t — at the speed instant payments demand.

Overwhelming false positive rates

Industry-standard screening tools generate false positive rates of 90–98%, meaning analysts’ time is spent investigating irrelevant alerts. Teams are stretched, response times slow, and genuine sanctions risk is buried in noise.

How Vyntra addresses it

Rigid systems

Legacy tools require IT involvement for every configuration change and static architectures cannot meet the latency requirements of instant payment rails.

How Vyntra addresses it

Inadequate matching accuracy

Sanctioned parties present through aliases, phonetic variants, transliterations, and name order variations that exact-match engines miss entirely. A system that only confirms a name is not listed cannot confirm that the name presented is accurate.

How Vyntra addresses it

Manual review overload

Without intelligent suppression and automated clearance, every alert requires human review. Operational costs spiral, backlogs grow, and compliance teams are unable to focus capacity on genuine risk — particularly as instant payment volumes scale.

How Vyntra addresses it

Platform approach

Three layers of sanctions intelligence, built into
the payment flow.

Vyntra’s sanctions screening platform brings automated list management, a configurable matching engine, and structured alert handling together in one place — so you get real-time screening and the context to act on it with confidence, as part of your wider risk management framework.

Comprehensive list management

Easily integrated with 3rd-party list providers for sanctions — from PEPs to adverse media feeds. Lists are continuously maintained and automatically updated — ensuring every screening decision reflects the current regulatory landscape and international regulations without manual refresh cycles.

Advanced matching engine

Fuzzy, phonetic, and token-based matching covers word order, initials, abbreviations, accents, and case variations. Transliteration across scripts extends coverage to non-Latin name presentations.

Intelligent alert management

Real-time alert generation is combined with suppression of repeat hits, clearance rules for known false positives, and a four-eyes review workflow for genuine escalations. Every decision is logged with a full audit trail, ready for risk assessment and regulatory review.

GET IN TOUCH

Sanctions exposure doesn't wait.
Your controls shouldn't either.

See how Vyntra’s sanctions screening solution combines advanced matching, intelligent false positive reduction, and compliance-ready investigation workflows — delivering accurate decisions within the payment flow, at the speed instant payments demand.

FAQs​

Which sanctions lists and regulatory bodies matter most?

The most screened lists come from a handful of regulatory bodies. In the US, the Office of Foreign Assets Control (OFAC) publishes the OFAC lists, including the SDN list and various non-SDN lists. In the UK, the OFSI maintains the consolidated list, and the United Nations (through the United Nations Security Council) issues global designations. Between them these regimes cover comprehensive sanctions, sectoral sanctions and embargoes, and firms operating across borders must screen against all of the international regulations that apply to them.

Sanctions screening is one control within a broader financial crime program. Anti-money laundering (AML) frameworks combine ‘know your customer’ (KYC) checks at customer onboarding, ongoing due diligence, transaction monitoring, and the filing of suspicious activity reports (SARs) when illicit activities are suspected. Sanctions screening sits alongside these controls: KYC and monitoring look for money laundering and other financial crime, while screening specifically catches designated parties and blocks prohibited payments.

A risk-based approach means focusing on controls where the risk is highest, as set out by the Financial Action Task Force (FATF). It starts with a risk assessment of customers, products and geographies, feeds into risk management decisions about screening thresholds, and relies on continuous monitoring to catch changes over time. It also targets the ultimate harms behind the rules: money laundering, terrorist financing (also called terrorism financing), and evasion of financial sanctions.

Legacy screening produces huge volumes of false positives because static rules flag any rough name match. Artificial intelligence and machine learning models add context, learning which matches are genuine and which are noise, and handling transliteration and alias variation across scripts. That lets teams cut alert volumes while still catching real hits, instead of drowning analysts in irrelevant alerts.