Webinar

Getting Transaction Screening Right: Managing Sanctions & Proliferation Financing Risk In MENA

Real-time payments in the Middle East are on track to reach 3 billion transactions by 2028, each needing a screening decision in seconds. Up to 1 in 10 payments triggers an alert, most of them false positives, yet many institutions still screen every payment flow with the same configuration. The result is unnecessary alerts in some flows and too little scrutiny in others.
SAMA expects screening before execution, matching that handles Arabic transliteration, and methods suited to each institution’s risk. In this webinar, MOZN’s experts will show how to turn those expectations into flexible, risk-based real-time screening, with a live peer poll and Q&A.

Webinar Content Guide

What Attendees Will Learn:

“Real time” doesn’t mean real-time investigation.

Decisions must be fast; investigations needn’t be. The real risk is avoidable alerts holding up legitimate payments.

Richer ISO 20022 data doesn’t automatically reduce alerts.

Treat its fields as plain text, and it can create more misleading matches, not fewer.

Not every false positive has the same cause.

Misread data and genuine ambiguity need different fixes. Blanket threshold changes weaken detection and are hard to defend to examiners.

Screening in Arabic needs more than name matching.

Transliteration affects names, companies and addresses alike. Matching across party roles, bank identifiers and payment context gives a sharper answer.

A risk-based approach has to work across every channel and rail.

One configuration over-alerts some flows and under-scrutinizes others. See how MOZN’s Screening Templates keep each flow’s controls governed and traceable.
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AI-Driven Precision in
Fraud Risk and AML Compliance

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The Challenge
Organizations face rising financial crime, stricter regulations, and outdated systems. Manual reviews, siloed tools, and false alerts slow down enterprises and leave them exposed.
The solution

Why FOCAL?

FOCAL by MOZN accelerates fraud detection, automates compliance, and keeps organizations ahead of fast-changing risks and regulations.

One Centralized Platform

Bring fraud detection, AML, and due diligence into one seamless AI-native solution.

Adaptive Machine Learning

Self-learning models improve accuracy, cut false positives, and adapt as risks shift.

Localized Intelligence

Built-in rules, watchlists, and data tuned to local regulations and realities.

Rapid Deployment

Pre-built integrations and a single API for faster time-to-value. 

Scalable by Design

Cloud-native, modular architecture that grows across products, channels, and regions.

Expert Support

Local specialists with global compliance know-how at your side.