Case Study: One of the Largest U.S. Banks Detects 30% More Fraudulent Accounts with DataVisor

U.S. Largest Bank - Customer Case Study

U.S. Largest Bank engaged DataVisor to tackle application fraud stemming from synthetic and stolen identities. The bank needed a solution that could uncover linked fraud rings and detect novel attack types without labeled training data.

DataVisor deployed its unsupervised machine‑learning fraud detection platform to link malicious accounts, stop fraud at account opening, and surface new, unlabeled attacks. The solution detected an additional 30% of fraudulent accounts beyond the bank’s in‑house system and reduced the window of exposure by catching fraud at onboarding.