The Missing Linguistic Layer in Fraud Detection

Most fraud detection looks at the envelope: the sender, the infrastructure, the transaction pattern. Far less attention goes to the letter inside.

Language carries signals that infrastructure doesn't: who a message was written for, how it was adapted, and which playbook it came from. Treating those signals as first-class data, rather than free text to be filtered, could close gaps that technical indicators leave open.

Short note. More to come.