Pre-Fill Accuracy and Business Impact at Scale
Identity verification has long forced a trade-off between conversion and fraud control. New evidence shows it doesn’t have to. Our whitepaper presents production-scale evidence that high-accuracy Pre-Fill identity verification can simultaneously increase onboarding completion rates, reduce fraud, and drive measurable revenue growth. The key lies in shifting from static data validation to evidence-based identity assurance grounded in cryptographic integrity.

About
Traditional risk-based authentication systems rely on static attributes like credit bureau data, device fingerprints, IP signals, that are increasingly compromised by mass data breaches and AI-generated synthetic identities. The result is a structural tension: reducing friction increases fraud risk, adding friction kills conversion, and manual review layers compound both with operational cost.
Prove’s whitepaper uses production deployment data from a Tier 1 U.S. financial institution across 30 million transactions to show that evidence-based identity assurance built on cryptographic integrity can deliver higher pass rates and tighter fraud control simultaneously.
Key findings and concepts covered include:
- 99.999%+ accuracy at national scale across 30 million transactions
- Pass rates increasing from 77% to 92% over traditional RBA models, without increasing fraud
- $500M+ in incremental revenue from improved onboarding completion and reduced manual review costs
- The Identity Graph: how longitudinal mobile tenure and behavioral data enables deterministic verification
- Assurance Levels (AL1–AL3) for risk-tiered, policy-driven decisioning
- Cryptographic authentication: SIM-based credentials and device-bound keys that replace probabilistic heuristics with deterministic outcomes
- Continuous lifecycle monitoring to maintain identity assurance quality post-onboarding
Download the eBook now to see the production evidence for yourself.
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