Alert!
Exact-Match Tools Fall Short When It Comes to Arabic Names
Are you sure you’re screening “Jamal,” not “Gamal”? Inconsistent transliterations, regional spellings, and naming styles make Arabic name matching tricky. Traditional tools often miss true matches or flag false ones, complicating risk detection.
Arabic names often have multiple spellings in English. If the software can’t recognize these as the same person, it can miss critical matches.
Arabic names often include non-identifying words. Overemphasis on these in a system can lead to mismatched identities or unnecessary alerts.
"Compliance officers work in multiple languages. AML systems that don’t support Arabic and English risk missing matches, like 'Mohammad' vs 'محمد'."
Arabic names can include tribal identifiers like Al or Bin and vary in transliteration, for example, Mohammed vs. Muhammad, making accurate identity screening challenging.
Handling Arabic Name Order Variations
AML Watcher detects near-identical names despite spelling differences, using fuzzy logic to reduce missed matches and false positives, ensuring names like Yousuf and Youssef are never missed.
Multiple Transliterations Solution
Bridges the gap between Arabic and Latin scripts. AML Watcher identifies transliteration patterns across countries and data sources, recognizing that Al-Masri, El Masry, and Masri all refer to the same name.
Handling Long Arabic Names
AML Watcher understands how Arabic names sound, not just written. The phonetic engine matches pronunciations across dialects and transliterations, linking Mohammad, Muhamad, and Mohamed to the same entity.
Identifying Prefixes & Suffixes
AML Watcher accurately matches names with Prefixes & Suffixes by implementing intelligent name parsing and using rule-based exclusion and inclusion criteria to recognize and adjust for prefixes and suffixes.
Handling Arabic Name Order Variations
AML Watcher detects near-identical names despite spelling differences, using fuzzy logic to reduce missed matches and false positives, ensuring names like Yousuf and Youssef are never missed.
Multiple Transliterations Solution
Bridges the gap between Arabic and Latin scripts. AML Watcher identifies transliteration patterns across countries and data sources, recognizing that Al-Masri, El Masry, and Masri all refer to the same name.
Handling Long Arabic Names
AML Watcher understands how Arabic names sound, not just written. The phonetic engine matches pronunciations across dialects and transliterations, linking Mohammad, Muhamad, and Mohamed to the same entity.
Identifying Prefixes & Suffixes
AML Watcher accurately matches names with Prefixes & Suffixes by implementing intelligent name parsing and using rule-based exclusion and inclusion criteria to recognize and adjust for prefixes and suffixes.
Screen names in 80+ languages across 235+ countries
3,500+ watchlists with 215+ sanctions regime data sources
44% fewer false positives than traditional solutions
