Synthetic fraud involves using fake identities—blending real and fictitious data—to commit financial crimes. SentiLink defines two types: first-party, where individuals manipulate their own identity data, and third-party, where entirely fake profiles are created. Tactics include piggybacking, credit washing, and submitting false documents. These cases often go undetected or are misclassified as credit risk or identity theft. The white paper calls for clear, standardized definitions across the industry to improve fraud detection, reduce false positives, and guide regulatory and institutional responses.

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