Fraud model: build or buy?
Data gravity and real time latency pin it to self host.
Open the live lab · preloaded to this scenario
Build, Buy, or Fine Tune Decision Evaluator
Context
A card issuer decides how to run its fraud model. A vendor is fast to stand up, but the training data can't leave the bank, scoring must happen in real time, and the model itself is a competitive edge.
The decision
Self host / fine tune wins here, data gravity, sub-100ms latency, and differentiation all point the same way, and the bank has the team to run it.
What most miss
The vendor's time to value is seductive, but on fraud the data can't move and the latency is non negotiable, control isn't a preference, it's a constraint.
Stakes
A vendor round trip that adds latency or moves fraud data off prem isn't a cost line, it's a regulatory and loss rate problem.
Firsthand · AI Investment Strategy and Portfolio Governance · verified 2026-07-03
Sources: Fraud-model build/buy, firsthand (cards & payments, American Express); Real-time scoring + data-gravity constraints