How AI is Transforming Fraud Detection in Payments — Gemmy Connect Blog

The Fraud Challenge

Every second of every day, someone is trying to steal money through a payment system. INTERPOL estimates that cybercrime costs Africa $4 billion annually. In Nigeria alone, banks lost N52.26 billion ($34 million) to fraud in 2024. Kenya faced 4.6 billion cyber threats in Q2 2025 alone. As digital payments grow, so does the sophistication of these attempts.

Traditional rule-based systems can no longer keep up with evolving threats. The criminals adapt faster than any static rule set can handle. The only answer is to fight AI with AI.

Our AI-Powered Approach

At Gemmy Connect, we have built a fraud detection engine that uses machine learning to analyze transactions in real time. This is not theoretical. This is running on every single transaction that flows through our platform.

Real-Time Analysis

Our models evaluate hundreds of signals per transaction — device fingerprint, location, behavior patterns, and more — in under two hundred milliseconds. By the time you blink, our system has already decided whether your transaction is legitimate.

Behavioral Biometrics

By analyzing how users interact with their devices — typing speed, swipe patterns, even how they hold their phone — we can detect anomalies that indicate fraud. Someone might have your password, but they cannot replicate the way you type.

Continuous Learning

The model improves with every single transaction, adapting to new fraud patterns as they emerge. This is crucial because fraud patterns evolve in real time.

The Results

Since deploying our AI fraud engine, we have seen a 94% reduction in successful fraud attempts and a 60% decrease in false positives compared to traditional rule-based systems.

Meanwhile, Nigeria's proactive measures have already shown results: fraud losses dropped 51% to N25.85 billion in 2025. But with 4.6 billion cyber threats hitting Kenya in just one quarter, the battle is far from over. At Gemmy Connect, we are committed to staying ahead of the threats so our users' money stays safe.