/ Verification Process

Every decision bounded. Every threshold documented.

FIVEA's verification architecture is defined at design time — explicit thresholds, structured audit trails, and reject criteria built around false-positive cost, not conversion rates.

— Three-Stage Evaluation

How each identity claim is evaluated

Step 01
Step 02
Step 03

Claim intake and signal extraction

Threshold evaluation and pass/reject ruling

Chain-of-custody record and log commit

Each identity claim is decomposed into verifiable signals — biometric, cryptographic, and behavioral. No composite score is accepted without traceable component evidence.

Each signal is measured against a published threshold. Decisions are binary and explicit — no probabilistic approval band, no override without logged justification.

Every decision event is committed to an immutable log with timestamp, signal values, threshold version, and ruling. The record exists before the session closes.

Extreme close-up of a biometric sensor surface under cool even studio light, fine concentric scan rings and metallic contact grid in sharp focus, dark background with geometric precision, no human elements
Extreme close-up of a biometric sensor surface under cool even studio light, fine concentric scan rings and metallic contact grid in sharp focus, dark background with geometric precision, no human elements
+ Audit Log Architecture

Structured for forensic review years later

Log format, field schema, and retention policy are specified at system design time — not configured post-deployment. Each record carries a cryptographic hash linking it to the preceding entry.

Retention windows are defined per regulatory jurisdiction — HIPAA, SOX, FedRAMP. Chain-of-custody integrity is verifiable by a third-party auditor without FIVEA's involvement.

▸ Reject Criteria Design

Thresholds set by false-positive cost, not friction tolerance

If your evaluation criteria include time-to-deploy or conversion impact, FIVEA is the wrong platform. If they include audit defensibility and zero-ambiguity proof, schedule a technical brief.

Reject thresholds are calibrated against the regulatory and financial cost of a false acceptance — not optimized to minimize user drop-off. Every threshold value is documented, versioned, and available for RFP review.