More evidence for thin-file decisions – and 90% fewer manual reviews.
A global payments platform added Heka’s identity intelligence to its existing controls to separate higher-risk identities from legitimate thin-file applicants and reduce unnecessary manual review.
- reduction in manual reviews
- 90%
- reduction in loss exposure
- 99%
- saved per blocked account
- $5K
Customer evaluation result. Performance varies by portfolio and use case.
Global payments platform
A global fintech assessing a high volume of applicants, many with limited conventional identity and risk data.
AI-driven fraud and a manual-review bottleneck
AI-driven identity fraud was becoming more convincing and scalable, and too many thin-file cases were being sent to manual review.
Legacy layers stayed in place
Heka was added alongside the platform’s existing identity and risk controls to supply evidence those layers did not surface – not to replace them.
Signals fabricated identities struggle to sustain
Heka analyzed live external signals: digital history, cross-platform presence, contact intelligence, behavioral consistency, cross-source alignment and, where relevant, breach exposure.
Faster decisions for legitimate applicants
Additional evidence supported more confident thin-file decisions, fewer cases requiring manual review and earlier intervention on higher-risk identities.
Less review, lower exposure
Manual reviews fell by 90% and loss exposure by 99%, with $5K saved per blocked account.
“We’ve worked with multiple vendors in the past, and Heka is the first one we encountered that actually provides the incremental value we’re looking for.”