Validating Identity Verification Providers Side-By-Side
The bank tested multiple IDV vendors in parallel, combining synthetic data and real-user trials to evidence fraud detection accuracy and regional coverage before committing to procurement.
Outcomes
92%
Verification Accuracy Improved
60%
Drop-Off Rates Reduced
80%
Fraud Detection Increased
85%
Evaluation Timeline Reduced
Technology Vendors Suited to Evaluation
Business Problem
The bank needed to reassess identity verification effectiveness and compare multiple providers, including regional ID coverage. Internal processes made vendor onboarding sequential and expensive, while reliance on vendor demos risked poor decisions. Without realistic fraud scenarios and scaled user testing, false positives, high drop-off, and compliance gaps remained unresolved.
Without end-to-end validation, improvements to NPS, first-contact resolution, and cost efficiency could not be proven.
Challenges
- Sequential Onboarding – procurement, security, and infra approvals slowed vendor evaluation.
- Comparability Gap – reliance on sales demos limited fair side-by-side testing.
- Fraud Risk – no safe way to simulate deepfakes, injection attacks, or rare fraud scenarios.
- User Complexity – managing NDAs, privacy, and test environments for 200+ participants was costly and inconsistent.
From Idea to Evidence with NayaOne
NayaOne enabled the bank to run structured, concurrent PoCs with IDV providers in a secure, production-like sandbox.
- Enterprise Gateway: Spun up 4 IDV vendors in parallel, bypassing internal infra builds.
- Synthetic Data Generation: Fraud scenarios including deepfakes and injection attacks created without exposing sensitive data.
- Real-User Testing Orchestration: Safe onboarding of 200+ participants with NDA management, liveness checks, and telemetry capture.
This provided identical conditions across vendors, enabling apples-to-apples comparison and evidence-backed vendor selection.
Impact Metrics
PoC Timeline Reduction
8 weeks with NayaOne vs 12 – 18 months traditionally
Time Saved in Vendor Evaluation
10 - 16 months
Decision Quality
Shifted from partial demos to live, repeatable evidence under fraud and user scenarios.
KPIs
- Verification Accuracy
- False Positive / Negative Rates
- Completion Rate
- Average Verification Time
- Fraud Scenario Detection
Validate IDV Vendors with Real-World Scenarios
Run parallel PoCs with synthetic fraud events and live-user testing – reducing cost, fraud exposure, and decision risk in weeks, not years.
