AI-Powered Fraud Detection & Risk Scoring

Stop fraud in real time — with fewer false alarms.

Overview

What is AI-Powered Fraud Detection & Risk Scoring?

Static rules can't keep up with fraud: they miss novel patterns and over-flag good customers, so you lose money to fraud and friction at the same time. AI-based fraud detection scores risk in real time from behaviour and patterns, catching more genuine fraud with far fewer false positives — and, critically, explaining its scores so investigators can act. We build and validate the models, run them alongside your existing rules to compare, and deploy real-time scoring in your transaction flow, cutting losses without punishing legitimate customers.

Services provided

Real-time anomaly and fraud detection
Fewer false positives than static rules
Explainable risk scores for investigators
Deployment in your live transaction flow
Reduced fraud losses and customer friction
Monitoring for performance and drift
Insights

What the data says

Static rules miss novel fraud and over-flag good customers; ML adapts to both.

Explainability is what lets investigators act on a score with confidence.

Cutting false positives is often worth as much as catching more fraud — friction costs customers.

Why Ganexa

Where Ganexa stands out

Fewer false positives, so good customers aren't blocked.

Explainable scores investigators can actually trust and action.

Real-time scoring in your transaction flow, not overnight batch.

Validated against your existing rules before it takes over.

Monitored for drift as fraud patterns evolve.

How we work together

Your engagement roadmap

Phase 1

Discover

1–2 weeks

Assess fraud patterns, data and current rules.

Risk baseline

Phase 2

Design

2–3 weeks

Build and validate the scoring models with explainability.

Model

Phase 3

Build & pilot

3–6 weeks

Pilot alongside existing rules and compare outcomes.

Piloted scoring

Phase 4

Scale & embed

Ongoing

Deploy real-time and monitor for drift.

Production fraud detection

Who this is for

Built for where you are

Payments firm

“Our rules engine over-flags legitimate transactions and still lets new fraud patterns through.”

We built ML risk-scoring with explainable outputs, ran it alongside the rules to compare, then deployed it in the live flow.

Fraud losses and false positives cut together — fewer good customers blocked, more real fraud caught.

E-commerce marketplace

“Fraudulent accounts and chargebacks are rising and manual review can't scale.”

We deployed real-time risk scoring to triage transactions and accounts, focusing manual review on the genuinely risky.

Manual review focused where it mattered, and chargeback losses reduced.

Lender

“We need to spot application fraud without slowing down good applicants.”

We built explainable application-risk scoring integrated into the onboarding flow.

More application fraud caught with minimal friction for legitimate applicants.

Deliverables

What you walk away with

Fraud / risk scoring models

Validated models that score transactions or accounts for fraud risk in real time.

Explainability for investigators

Clear reasons behind each score so investigators can act with confidence.

Real-time scoring integration

Scoring embedded into your live transaction or onboarding flow.

Performance & drift monitoring

Monitoring of detection performance and false-positive rates as fraud evolves.

Ready to put AI-Powered Fraud Detection & Risk Scoring to work?

Book a free 30-minute discovery call — you'll leave with a clear, costed next step, no obligation. Or ask us anything: we reply within one business day.