Articles
Optimizing KYC Verification: Balancing FRR and FAR Across Industries and Regions
Ever had a legitimate customer blocked by your KYC system even though they were who they claimed? That’s an example of a false rejection. Or worse, imagine a fraudster slipping through as a verified user – a false acceptance. In identity verification, these two error metrics are critical. The False Rejection Rate (FRR) measures how often a good user is mistakenly rejected, while the False Acceptance Rate (FAR) measures how often a bad actor is wrongly accepted.