Case Study: Joining Fraud Detection and AML


At Honolulu-based First Hawaiian Bank, the need for integrating fraud detection and anti-money-laundering systems became a clear necessity a couple of years ago.

First, not all incidents of fraud were being detected, and a number of the bank’s systems revealed redundancies and overlap. The bank also realized that not all cross-channel fraud patterns, such as those between the online and debit channels, were being detected. Incidents that were picked up were often caught in isolation.

The link between channels was not apparent, nor easy to find.

Struggles to find fraud links between channels are not unique to First Hawaiian, a $15.8 billion institution and wholly-owned subsidiary of BNP Paribas. Many financial institutions continue to struggle with cross-channel fraud detection. Different and disparate detection systems for online versus debit fraud, as an example, pose obvious challenges. But for First Hawaiian, the concerns were mounting.
Detailed report link: here