30% more fraud found – with fewer good applicants flagged.
A growing credit card issuer evaluated Heka’s identity intelligence alongside its existing risk scoring, to catch more application fraud without adding friction for good customers.
- of fraud missed by the existing stack identified by Heka
- 42%
- more fraud found at the same false-positive rate
- 30%
- false-positive rate at the same fraud-detection rate
- 5.7% → 3.5%
Retrospective proof-of-concept result. Retrospective results may differ from live production, and performance varies by portfolio and use case.
Catch more fraud without adding friction
The issuer’s credit program was growing. It needed to catch more application fraud without creating unnecessary friction for good customers.
Identity evidence alongside existing scoring
In a retrospective proof of concept on historical credit applications, Heka scored each application before receiving any outcome data. Heka was assessed alongside the issuer’s existing risk scoring, not as a replacement.
More fraud caught, fewer good applicants flagged
Heka identified 42% of the fraud the existing stack missed. At the same false-positive rate it found 30% more fraud, and at the same fraud-detection rate the false-positive rate fell from 5.7% to 3.5%.