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

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.
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.