Challenge:
Modern fraud is dynamic—ranging from synthetic identities and account takeovers to coordinated cross-border scams. Traditional rule-based systems struggle to keep up, often producing false positives or missing subtle threats.
Synapse6.AI Framework in Action:
Catalog: All users, bank accounts, lockers, crypto, transaction metadata, device finger printing and user logins and banking history behaviors—are ingested and tagged by source, ownership, region, and format.
Curate: The system filters for critical elements: licensing terms, withdraw limits, check behaviors, and inflow and outflow of cash. Duplicate or irrelevant transactions and metadata is removed.
Context: Banks can be using contextual AI systems that analyze not just transactions, but the entire behavioral and environmental context surrounding them to build a dynamic risk profile for each customer. When a transaction deviates from the expected context, the AI flags it instantly—even if the transaction itself looks normal.
