Insights
Plain-language analysis of how fraud works, where it hides, and what to do about it.
Why AML programs should count investigations, not alerts
Ten thousand alerts a month is not a sign of strong monitoring. Often it is a sign the rules need tuning.
The quiet revenue leaks in online apparel
Small e-commerce brands rarely lose money to one big fraud. They lose it in small, repeatable abuses that look like normal customer behavior.
Where fraud hides in a home care agency
In home care, the work happens out of sight, in private homes, with records no one else witnessed. That is where fraud finds room.
When fintechs move faster than their fraud controls
Products launch before verification is fully built. By the time fraud patterns show up, the gaps are already part of the product.
Activity isn’t effectiveness: a test for your fraud program
More SARs, more training, more alerts. None of it proves a fraud program works. Four questions that show whether yours does.
Why sophisticated fraud slips between teams
Account takeover, payment fraud, and chargebacks often land in different departments. That separation is exactly what fraudsters use.
Caller ID spoofing: why scam calls look familiar
The name on your screen can be faked. That is why scam calls feel credible before you even answer.
“Is this the owner of this phone?” How spam calls fish for confirmation
Vague questions are deliberate. Every answer you give confirms something a scammer did not know.
