#QuickBiteCompliance Day 198
🚨 Catching the “Almost Twins”: Why Partial Matches Matter in Fighting Crime 🚨
Imagine you’re playing a game of “Spot the Difference” with a twist: one tiny change—a letter swapped, a birthday shifted—could let a bad guy sneak into a bank, a business, or even a country. That’s the sneaky world of partial matches!
When screening names against sanctions lists (like global “no-fly” lists for money), tools use fuzzy logic to find similarities. For example:
– “Mohamad” vs. “Mohammed” (close enough?)
– Birthdate “05/04/1980” vs. “April 5, 1980” (same person?)
These “almost twins” need a human to decide: Is this a match, or just a coincidence?
### How Criminals Exploit This 🕵️♂️
Bad actors love partial matches. They’ll tweak their names, misspell cities, or adjust birth years to slip past automated systems. Think:
– A sanctioned weapons dealer uses “Alex” instead of “Alexander” to open a bank account.
– A drug cartel launders money using a fake ID with a birth year one digit off from a real sanctioned individual.
Without human checks, these near-misses become free passes for crime. 💸
### The Fix? Teamwork! 🤝
Machines + Humans = Superheroes. Tools flag the “maybes,” and experts dig deeper. This is where #InclusiveRegtech (tech that works for everyone) and #OpenSourceAML (transparent tools anyone can improve) shine—making sure no partial match goes unnoticed.
💡 Fun Fact: Even Santa’s list needs a partial match check. “Nicholas” vs. “Nick”? Better check twice! 🎅
Let’s stay sharp—because financial crime hides in the details.
📚 Learn more about AML terms: [ACAMS Glossary](https://www.acams.org/en/resources/aml-glossary-of-terms)
✨ #InclusiveRegtech #OpenSourceAML #100HariNulis #StopFinancialCrime
P.S. Ever spotted a “partial match” in real life? Share below! 👇
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