Fraudsters Collaborate. Banks Divide.
Fraudsters collaborate across banks, sharing tactics and strategies to maximize their success. In contrast, cooperation between financial institutions is typically fragmented and limited.
This imbalance leaves each bank exposed.
Static blacklists, heterogeneous data models, and misclassification of types of mule accounts can harm customers and pose legal and reputational challenges for financial institutions.
Existing solutions weren't built with collaboration in mind
Traditional fraud prevention technologies are siloed because:
... designed to share insights across accounts, sessions and transactions.
... not architected to unify rules or scoring, tuning has to be repeated across platforms.
Traditional fraud prevention technologies do not:
... accurately distinguish between types of mule accounts.
... provide clear, compliant processes for removing accounts from blacklists, managing where they are hosted, or handling regulated personal data.
Privacy platforms do not ...
... understand the complex, heterogeneous data models across banks.
... have the contextual understanding of the banking ecosystem and fail to deliver effective fraud intelligence.