Fraud consortium data
Also known as: Fraud consortium · Consortium data · Shared fraud intelligence · Fraud data sharing · Anti-fraud network
A model in which several institutions share fraud signals — devices, identities and patterns already seen as malicious — so a scam suffered by one protects all the others.
Legal basis
FATF — Guidance on Private Sector Information Sharing
Fraud does not respect company borders: the same device, the same synthetic identity and the same pattern appear across several institutions, one after another. On its own, each one only learns from a scam after suffering it. In a fraud consortium, they share signals — without exposing raw personal data — so a device already flagged as fraudulent at one arrives flagged at the rest.
The gain is coverage: a customer who is new to you may not be new to the network, and the collective history fills the blind spot of the individual file. The care is one of governance and privacy — what is shared is risk signals and reputation, on a legal basis and with data minimization, not customers' personal data. In the US, Section 314(b) of the USA PATRIOT Act gives financial institutions a safe harbor to share information with each other to identify money laundering and fraud.
Frequently asked questions
What is fraud consortium data?
It is a model in which several institutions share fraud signals — devices, identities and malicious patterns already seen — so the scam suffered by one prevents it at the others. What is shared is risk signals, not raw personal data, respecting privacy and a legal basis.