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Reviewed and published by trentmaziarz, July 9, 2026. Discovered and drafted by our automated research pipeline.

Flywire uses an AI and machine learning fraud detection engine, trained on millions of transactions, to detect anomalous payments across its global payment network and escalate flagged activity to human compliance analysts. The system covers ACH, check, card, and wire transactions.

Details

Flywire's 2024 Annual Report (10-K) confirms that its 'AI and ML enabled fraud detection risk engine has trained against millions of automated clearing house (ACH), check, card, and wire transactions.' Machine learning algorithms analyze transaction activity and user behavior to identify potentially fraudulent transactions in real time. Flagged payments are escalated to Flywire's Compliance and Operations teams for human review rather than being automatically blocked. As of March 2026, Flywire's Chief Product Officer confirmed in a PCI Security Standards Council interview that AI is being incorporated to strengthen fraud detection and anomaly monitoring across global payment flows.

Products affected

Flywire payment platformFlywire cross-border payment and receivables platform

Sources & Evidence

Cite this record

Trace Foundation. (2026). Flywire: Flywire uses an AI and machine learning fraud detection engine, trained on millions of transactions, to detect anomalous payments across its global payment network and escalate flagged activity to human compliance analysts. The system covers ACH, check, card, and wire transactions (data as of 2026-07-09) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/b8535f19-e7ca-4fbe-8259-32a967dc3978. Accessed October 7, 2026.

Stable link
https://www.aitrace.org/r/practice/b8535f19-e7ca-4fbe-8259-32a967dc3978
Data as of
July 9, 2026
Last verified
Not recorded

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