Visa folds Featurespace scoring into its A2A fraud service for banks
Visa has rebuilt A2A Protect around a single fraud score drawn from Featurespace models, aimed at stopping account-to-account scams before a transfer is authorised. It is the first Featurespace-derived capability Visa has put into the market since buying the company.

What changed
Visa has rebuilt A2A Protect around a single fraud score drawn from Featurespace models, aimed at stopping account-to-account scams before a transfer is authorised. It is the first Featurespace-derived capability Visa has put into the market since buying the company.
What changed
A2A Protect now returns one unified risk score per account-to-account transfer instead of separate signals, delivered to banks over a single API. Visa says the model uses transfer learning so a joining institution gets network-level risk intelligence immediately rather than waiting months for a model to train on its own transaction history, and without needing other banks to join a data consortium first. Banks that opt in to network-level intelligence sharing additionally receive signals on emerging scam hotspots and coordinated fraud activity seen elsewhere on the network. Each alert carries a plain-language reason for the flag. Visa cites internal results of over 50% more fraud caught, over 40% fewer unnecessary alerts, and a 75% lift in detection during the first six months of deployment. The service scores bank-to-bank transfers; it is not a change to Visa card scheme rules or interchange.
What merchants must do
No merchant-side action. Merchants and PSPs taking payment or paying out over instant bank rails can ask their bank or acquirer whether A2A Protect scoring is in use, since scoring applied before authorisation may affect how often legitimate transfers are held or declined. Verify the claimed detection figures independently — they are Visa's own numbers and are not audited in the release.