Value Stream:
Verify

Leverage device, location, and identity intelligence to detect anomalies, block suspicious activity, and maintain full regulatory compliance.

Overview

Every transaction is a trust decision. Centric brings together device fingerprints, geolocation, behavioral patterns, and sanctions data into one intelligent verification layer, ensuring you detect risks instantly while staying fully compliant with CBN and AML mandates, protect your business from fraud with full regulatory confidence.

Key Statistics

Over 70% of digital payment fraud in Nigeria involves compromised devices or synthetic identities - NIBSS Fraud Report 2024

Real-time verification reduces fraud losses by up to 45% - McKinsey Digital Payments Risk Study

Companies that combine device, location, and identity signals achieve 2× better fraud detection accuracy - Accenture Payments Pulse 2024

Continuous sanctions screening lowers compliance exceptions by 35% - LexisNexis Risk Solutions

Siloed Fraud Systems

Device, location, and transaction data live in separate tools — slowing decision-making.

Reactive Risk Detection

Suspicious activity is often flagged after a loss has occurred.

High False Positives

Static rules block legitimate transactions, reducing approvals and customer trust.

Manual Compliance Checks

Sanctions and watchlist screenings are repetitive and delay transaction flow.

Blind Spots in Behavior

Limited pattern recognition misses cross-device and mule network activity.

Surge in SIM-swap, device spoofing, and synthetic identity attacks.

CBN and NFIU tightening expectations for continuous AML monitoring.

Pressure to improve approval rates without increasing fraud exposure.

Operational fatigue from manual screening and compliance audits.

Real-Time Transaction Verification

Validate users, devices, and payment sources instantly before authorization.

Device & Location Intelligence

Match fingerprints and geolocation data in real time to block suspicious access.

Velocity & Pattern Analysis

Track frequency and behavioral anomalies to catch fraud early.

Sanctions & Watchlist Screening

Automated checks against global and local databases for regulatory compliance.

Adaptive Risk Models

AI learns from each decision refining accuracy and reducing false positives.

Continuous Learning Loops

Every false positive or fraud case strengthens the model, improving speed and precision.